MODULE HANDBOOK Master of Science in Economics

Advanced data analysis (3322) S DE Macro Asset liability management (6530) S DE Macro Financial engineering und structured finance (6270) S DE Macro L...

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MODULE HANDBOOK

Master of Science in Economics Study start: from winter semester 2015/16

01.04.2018

Study start: winter semester 2015/16

Table of contents Economics Study Plan ..............................................................................................3 Specialisations ..............................................................................................................4 Economics Study Plan (study start from winter semester 2015/16) .................... 3 Specialisations ......................................................................................................... 4

Compulsory Subjects ........................................................................... 7 Applied econometrics ............................................................................................................ 7 Game theory ......................................................................................................................... 8 Macroeconomics: Business cycles .......................................................................................10 Macroeconomics: Economic growth .....................................................................................11 Mathematics for economists .................................................................................................12 Microeconomics ...................................................................................................................13

Elective compulsory subjects ............................................................ 14 Module group: Labor Economics .......................................................................... 14 Empirische Arbeitsmarktforschung .......................................................................................14 Labor and personnel economics...........................................................................................15 Labor market policy ..............................................................................................................16 Literaturseminar zu aktuellen Fragen der Arbeitsmarktökonomie .........................................17 Panel- und Evaluationsverfahren..........................................................................................18 Mikroökonometrie .................................................................................................................20 Personnel economics ...........................................................................................................22

Module group: Macroeconomics and Finance..................................................... 23 Advanced data analysis........................................................................................................23 Asset liability management (Versicherungen) .......................................................................24 Banking supervision: Bank rating, stress testing, financial stability .......................................25 Financial engineering and structured finance .......................................................................26 Finanz- und Bankmanagement.............................................................................................27 Fundamental statistical theory of econometrics ....................................................................28 International finance .............................................................................................................29 Lebensversicherung .............................................................................................................31 Macroeconomic methods: Applications to monetary policy ...................................................32 Multivariate time series analysis ...........................................................................................33 Nichtparametrische statistische Verfahren............................................................................34 Versicherungs- und Risikotheorie .........................................................................................35 Large-scale data management .............................................................................................36

Module group: Public Economics ......................................................................... 38 Public economics in theory and practice ...............................................................................38 Behavioral economics ..........................................................................................................39 Economic internship .............................................................................................................40 Ökonomie der Sozialpolitik ...................................................................................................41 Seminar behavioral economics 1..........................................................................................42 Seminar behavioral economics 2..........................................................................................44 Seminar public economics 1 .................................................................................................45 Seminar public economics 2 .................................................................................................46 1

Study start: winter semester 2015/16

Spatial economics ................................................................................................................47 Taxation and labor supply ....................................................................................................48 Taxation of capital income ....................................................................................................49

Module group: Energy Markets ............................................................................. 50 Advanced industrial organization ..........................................................................................50 Linear optimization ...............................................................................................................51 Combinatorial optimization ...................................................................................................52 Methods and applications of mathematical optimization .......................................................53 Quantitative methods in energy market modelling ................................................................54 Seminar energy markets ......................................................................................................56 Mathematical optimization for communications & signal processing .....................................58 Seminar Optimierung in Energiemärkten ..............................................................................59

Module group: Health Economics ......................................................................... 60 Applied empirical health economics......................................................................................60 The economics of health insurance ......................................................................................62 The supply of medical services.............................................................................................64 Gesundheitsökonomische Evaluationen I .............................................................................66 Gesundheitsökonomische Evaluationen II ............................................................................67

Free elective modules ......................................................................... 68 Master’s thesis .................................................................................... 72

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Study start: winter semester 2015/16

Distribution of workload per semester

Economics Study Plan (study start from winter semester 2015/16) Type ECTS 1st semester: compulsory subjects – 6 compulsory modules

1

2

3

4

ECTS

ECTS

ECTS

ECTS

25

25

Mathematics for Economists

L

5

5

Microeconomics

L

5

5

Game Theory

L

5

5

Macroeconomics: Business Cycles

L

5

5

Macroeconomics: Economic Growth

L

5

5

Applied Econometrics L 2nd and 3rd semester: elective subjects – choice of 10 economic elective modules + 2 free elective modules

5

5

Elective compulsory subjects: 10 modules worth 5 ECTS credits each, including at least one economics seminar (5 ECTS)

50

- Module group: Labor Economics - Module group: Macroeconomics and Finance - Module group: Public Economics - Module group: Energy Markets - Module group: Health Economics Free elective modules: 2 modules worth 5 ECTS credits each

5

10

5

4th semester: Master’s thesis Master’s thesis

25

25

Master’s thesis seminar ECTS credits

5 120

30

30

30

5 30

Instructions for creating course schedule: Students have the opportunity to create their own course schedule in our virtual course database univis. All available courses of each semester can be found here, sorted by specific areas of interest or a specific chair, including pieces of information about the lecturer, venues and content. By accessing the following link https://univis.fau.de/ >> Vorlesungsverzeichnis >> Rechtsund Wirtschaftswissenschaftliche Fakultät (RW) >> Fachbereich Wirtschaftswissenschaften, all courses of the FAU’s School of Business and Economics can be addressed. Bachelor’s and Master’s courses can be selected hereafter. A guidance of how to create your final course schedule can be found here (in German): www.wiso.fau.de/stundenplan

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Study start: winter semester 2015/16

Specialisations Students can choose to study specialisations, in which a minimum of 15 ECTS are to be completed. If a module is allocated to more than one specialisation students may decide themselves which specialisation it is to be allocated to. To avoid confusion, please note that specialisations and module groups are different concepts! The five available specialisations and their respective modules are the following: Term

Language

Module group*

Specialisation: Labor Economics Public economics in theory and practice (4610)

S

EN

Public

Behavioral economics (3281)

S

EN

Public

Labor and personnel economics (2900)

S

EN

Labor

Mikroökonometrie (3104)

S

DE

Labor

Ökonomie der Sozialpolitik (3081)

S

DE

Public

Personnel economics (3071)

S

EN

Labor

S/W

EN

Public

Spatial economics (5960)

S

EN

Public

Taxation and labor supply (6410)

S

EN

Public

Empirische Arbeitsmarktforschung (3370)

W

DE

Labor

Labor market policy (2910)

W

EN

Labor

Labor markets: A macroeconomic perspective (3342) Literaturseminar zu aktuellen Fragen der Arbeitsmarktökonomie (2390) Panel- und Evaluationsverfahren (3054)

W

EN

Macro

W

DE

Labor

W

DE

Public

Seminar behavioral economics 2 (2940)

W

EN

Public

Public economics in theory and practice (4610)

S

EN

Public

Advanced data analysis (3322)

S

DE

Macro

Asset liability management (6530)

S

DE

Macro

Financial engineering und structured finance (6270)

S

DE

Macro

Lebensversicherung (6540) Macroeconomic methods: Applications to monetary policy (2640) Mikroökonometrie (3104)

S

DE

Macro

S

EN

Macro

S

DE

Labor

Multivariate time series analysis (3312) Banking supervision: Bank rating, stress testing, financial stability (2560) Taxation of capital Income (3984)

S

EN

Macro

W

EN

Macro

W

EN

Public

Finanz- und Bankmanagement (3770)

W

DE

Macro

Fundamental statistical theory of econometrics (3261)

W

DE

Macro

International finance (2290)

W

EN

Macro

Labor markets: A macroeconomic perspective (3342)

W

EN

Macro

Panel- und Evaluationsverfahren (3054)

W

DE

Public

Seminar behavioral economics 1 (2930)

Specialisation: Macroeconomics and Finance

4

Study start: winter semester 2015/16 Versicherungs- und Risikotheorie (6470)

W

D

Macro

Large-Scale Data Management (4660)

S

EN

Macro

Empirical applications in financial economics (7300)

S

EN

Macro

Term

Language

Module group*

Specialisation: Public Economics Public economics in theory and practice (4610)

S

EN

Public

Behavioral economics (3281)

S

EN

Public

Ökonomie der Sozialpolitik (3081)

S

DE

Public

S/W

EN

Public

Seminar public economics 1 (2950)

S

EN

Public

Spatial economics (5960)

S

EN

Public

Taxation and labor supply (6410)

S

EN

Public

Panel- und Evaluationsverfahren (3054)

W

DE

Public

Seminar behavioral economics 2 (2940)

W

EN

Public

Seminar public economics 2 (2960)

W

EN

Public

Taxation of capital income (3984)

W

EN

Public

Advanced industrial organization (8050)

S

EN

Energy

Behavioral economics (3281)

S

EN

Public

Seminar energy markets (2990)

S

DE/EN

Energy

Linear optimization (2971)

W

DE

Energy

Combinatorial optimization (2972) Methods and applications of mathematical optimization (2980) Quantitative methods in energy market modelling (2591)

W

DE

Energy

W

DE

Energy

W

EN

Energy

Seminar behavioral economics 2 (2940)

W

EN

Seminar Optimierung in Energiemärkten (4340) Mathematical optimization for communications & signal processing (3180)

W

DE

Energy

W

EN

Energy

Public economics in theory and practice (4610)

S

EN

Public

Behavioral economics (3281)

S

EN

Public

Ökonomie der Sozialpolitik (3081)

S

DE

Public

S/W

EN

Public

The economics of health insurance (6792)

S

EN

Health

The supply of medical services (2153)

W

DE

Health

Panel- und Evaluationsverfahren (3054)

W

DE

Public

Applied empirical health economics (2162)

W

DE

Health

Seminar behavioral economics 2 (2940)

W

EN

Public

Seminar behavioral economics 1 (2930)

Specialisation: Energy Markets

Public

Specialisation: Health Economics

Seminar behavioral economics 1 (2930)

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Study start: winter semester 2015/16 Gesundheitsökonomische Evaluationen I (4821)

S

DE

Health

Gesundheitsökonomische Evaluationen II (2850)

W

DE

Health

Miscellaneous (Modules that do not belong to any specialisation) Economic internship (6441)

W/S

Public

Exchange module 1 (5693)

W/S

Public

Exchange module 2 (5694)

W/S

Public

Nichtparametrische statistische Verfahren (5200)

S

DE

Macro

*Module groups (Modulgruppen) as defined in the examination regulations and study plan: Labor (Labor Economics), Public (Public Economics), Macro (Macroeconomics and Finance), Energy (Energy Markets), and Health (Health Economics).

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Study start: winter semester 2015/16

Compulsory Subjects Applied econometrics

5 ECTS

2

Module name MSE-2890 Courses/lectures

Lecture & exercise: Applied econometrics

5 ECTS

3

Lecturers

Prof. Tauchmann / Simon Reif

4

Module coordinator

Prof. Tauchmann

5

Contents

1

12

The linear Regression model based on a firm theoretical basis and using rigorous notation; endogeneity and instrumental variables estimation; the generalized regression model and heteroscedasticity, the basics of maximum likelihood estimation; using STATA® for applied econometric work Learning objectives and The students deepen their knowledge of linear and non-linear skills estimation techniques as well as their knowledge of hypotheses testing; students learn how to apply their methodical knowledge to empirical work using the software STATA® and how to interpret estimation results. Recommended Basic knowledge of statistics and econometrics as covered by the prerequisites optional preparatory course (levelling course). Integration in 1. semester curriculum Module compatibility Master Economics: Compulsory subjects Master FACT: Vertiefungsbereich (Modulgruppe Interdisziplinäre Module) Method of examination 90-minute written examiniation (100%, partly multiple choice). Students can improve their grade through a written assignment of about 2000 words based on an independent econometric analysis using STATA®, which then accounts for 20% of the grade (this requires the written exam to be graded not worse than 4.0; the max. improvement is 0.7 grades) Grading procedure Written examination (100%) Module frequency Annually in the winter term

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10

11

16

Attendance: 60 h Independent study: 90 h Weekly 90 min. lecture and 90 min. exercise class over the lecture period (1 semester) English Greene, W. H. (2012): Econometric Analysis, Pearson, 7th ed.

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Study start: winter semester 2015/16

Compulsory Subjects 1

Game theory

5 ECTS

2

Module name MSE-3201 Courses/lectures

Lecture: Game theory (2 SWS) Exercise: Game theory (2 SWS)

5 ECTS

3

Lecturers

Prof. Grimm and assistants

4

Module coordinator

5

Contents

6

Learning objectives and skills

Prof. Grimm Game Theory analyzes the behavior of rational agents in decision-making situations in which several agents are involved. Unlike Decision Theory, Game Theory studies situations in which the utilities of the individual agents are not only dependent on their own decisions, but also on those of the other agents. The course seeks to apply the basic game theoretical concepts (e.g., Nash equilibrium, subgame perfect equilibrium) to more complicated economic interactions. In addition, it introduces advanced concepts, such as the analysis of the games with incomplete information , auction theory and briefly, elements of mechanism design. We discuss different equilibrium concepts and their various refinements in the context of these games. Students acquire a more formal understanding of game theoretical concepts and learn to differentiate between different types of games and their appropriate solution concepts. They learn the applications of these concepts to advanced economic problems. Students should be able to formally approach real-world multi-person decision problems and give economic predictions based on the equilibrium concepts studied in the course.

7

Recommended Basic knowledge of game theory and its core applications prerequisites Integration in curriculum 1. semester Module compatibility Master Economics: Compulsory subjects Master Sozialökonomik: freier Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich

8 9

10

Method of examination

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

15

Teaching and English examination language (Recommended) reading Main Textbook:  Fudenberg, D. and Tirole, J. (1991), Game Theory, Cambridge, MIT Press.  Krishna, V. (2002), Auction Theory, Academic Press. Further (helpful) reading:

16

90 minute written examination (80%); written assignments (individual or group work possible) of up to 2000 words based on applying game theoretical concepts on economic issues (20%) 80% written examination and 20 % written assignments Annually in the winter term Attendance: 60 h Independent study: 90 h 1 semester

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Study start: winter semester 2015/16



Osborne, M. and Rubenstein, A. (1994), A Course in Game Theory, Cambridge, MIT Press. Maschler, M., Solan E. and Zamir, S. (2013), Game Theory, Cambridge University Press

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Study start: winter semester 2015/16

Compulsory Subjects 1

Macroeconomics: Business cycles

5 ECTS

2

Module name MSE-3212 Courses/lectures

L: Advanced macroeconomics (2 SWS) E: Exercise (2 SWS)

2,5 ECTS 2,5 ECTS

3

Lecturers

Prof. Merkl

4

Module coordinator

Prof. Merkl

5

Contents

6

Learning objectives and skills

-Stylized facts of the business cycle -Business cycle theories -Business cycle and the labor market -Monetary theory and policy Students - learn about modern dynamic business cycle theory - learn about dynamic labor market theory (search and matching) - apply standard techniques (e.g., intertemporal optimization, loglinearization or simple simulations) - learn about modern monetary theory - compare the implications of monetary theory with modern policy making

7

12

Recommended Advanced Mathematics, Macroeconomics (Bachelor) prerequisites Integration in curriculum 1. semester Module compatibility Master Economics: Compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Master Sozialökonomik: freier Vertiefungsbereich Master FACT: Vertiefungs- und Ergänzungsbereich Method of examination Written examination (60 Min.). Students can improve their grade through two assignments: one programming assignment with Matlab (about 30 lines of code) and one analytical problem (about four written pages). This requires the written exam to be graded not worse than 4.0; the max. improvement is 0.3 grades." Grading procedure Written examination (100%) Module frequency Annually in the winter term

13

Workload

14

Module duration

15

Teaching and English examination language (Recommended) reading Gali, J., Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework, 2008.

8 9

10

11

16

Attendance: 60 h Independent study: 90 h 1 semester

10

Study start: winter semester 2015/16

Compulsory Subjects

2

Module name MSE-3221 Courses/lectures

3

Lecturers

L: Macroeconomics: Economic growth (2 SWS) E: Macroeconomics: Economic growth (2 SWS) Prof Büttner and assistants

4

Module coordinator

Prof. Büttner

5

Contents

6

Learning objectives and skills

The lecture is concerned with the development of the economy over time, in particular with economic growth. In a first step the lecture considers how dynamic issues are dealt with in the context of traditional macroeconomics. We then go on and develop a dynamic model in which households, firms, and the government form expectations about future conditions and take account of future implications of current decisions. This model is varied to see implications of uncertainty and overlapping generations. Finally we discuss the sources and limits of economic growth. Students - learn how to derive a standard macroeconomic model from a set of optimal decisions of agents and their (intertemporal) constraints - learn how to use the model for basic predictions about effects of changes in endowments and starting conditions on short- and longterm equilibria - learn to modify the basic model to take account of uncertainty, infinite time and overlapping generations and understand the difficulties that are associated with some of these extensions - learn to apply techniques of intertemporal optimization - get acquainted with basic characteristics of economic growth - learn conditions under which the macroeconomic model is consistent with continuous economic growth - learn about the limits and determinants of economic growth

7 8

Recommended prerequisites Integration in curriculum

9

Module compatibility

10

Method of examination

Master Economics: Compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Master Sozialökonomik: freier Vertiefungsbereich Written examination (90 minutes)

11

Grading procedure

Written examination (100%)

12

Module frequency

Annually in the winter term

13

Workload

14

Module duration

Attendance: 45 h Independent study: 90 h 1 semester

15

Teaching and examination language (Recommended) reading

1

16

Macroeconomics: Economic growth

5 ECTS 5 ECTS

1. Semester

English Romer, D. (1996): Advanced Macroeconomics, 2. edition, Mc-GrawHill.

11

Study start: winter semester 2015/16

Compulsory Subjects 1

Mathematics for economists

2

Module name MSE-3231 Courses/lectures

3

Lecturers

Prof. Martin and assistants

4

Module coordinator

Prof. Martin

5

Contents

5 ECTS

L: Mathematics for economists (2 weekly lecture hours) 2.5 ECTS E: Mathematics for economists (1 weekly lecture hour) 2.5 ECTS

10

The main focus of this lecture is on vector spaces, eigenvalues, quadratic forms, analysis of n variables including Taylor derivatives, finite difference and differential equation as well as optimization. Learning objectives and The aim of this module is to practice common mathematical skills techniques, which are required for advanced courses in Economics. Recommended Basic knowledge as known from school and typical math courses prerequisites given within Bachelor programs on Economics, see for instance Sydsætter, Knut und Hammond, Peter (2008), Essential Mathematics for Economics Analysis, Prentice Hall, or the Bachelor chapters in Mosler, Karl, Rainer Dyckerhoff und Christoph Scheicher (2009), Mathematische Methoden für Ökonomen, Springer-Verlag (in German). Integration in 1. semester: curriculum This course is a block course at the beginning of the term and starts before the official lecture period. Module compatibility Master Economics: Compulsory subjects Master Sozialökonomik: freier Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Method of examination Written examination (90 Min.)

11

Grading procedure

Written examination (100 %)

12

Module frequency

Annually in the winter term

13

Workload

14

Module duration

Attendance: 45 h Independent study: 105 h 1 semester

15

Teaching and examination language (Recommended) reading

6

7

8

9

16

English Sydsætter, Knut und Hammond, Peter (2008), Further Mathematics for Economics Analysis, Prentice Hall; Mosler, Karl; Dyckerhoff, Rainer und Scheicher, Christoph (2009), Mathematische Methoden für Ökonomen, Springer Verlag (in German).

12

Study start: winter semester 2015/16

Compulsory Subjects 1

Microeconomics

5 ECTS

2

Module name MSE-3191 Courses/lectures

Lecture: Microeconomics (2 SWS) Exercise: Microeconomics (2 SWS)

5 ECTS

3

Lecturers

Prof. Rincke

4

Module coordinator

Prof. Rincke

5

Contents

6

Learning objectives and skills

Theory of the Consumer, Theory of the Firm, Partial Equilibrium, General Equilibrium, Anomalies Students are made familiar with the fundamental concepts of microeconomics on an advanced level, including advanced formal mathematical methods. The lecture covers topics in the theory of the consumer, the theory of the firm, partial equilibrium, general equilibrium, and anomalies in behavior in relation to the standard model. In the Exercises course, students learn how to apply these concepts to selected economic problems in various settings. The module is of fundamental importance for Master students who want to advance to studying applied problems in all field of applied micro, including labor economics, public economics, and industrial organization.

7

10

Recommended Basic training in formal microeconomic techniques prerequisites Integration in curriculum 1. semester Module compatibility Master Economics): Compulsory subjects Master Sozialökonomik: freier Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Master Management: Vertiefungsbereich Method of examination Written examination (90 minutes) and Presentation (Exercise)

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

15

Teaching and English examination language (Recommended) reading Jehle, Geoffrey A. und Reny, Philip J. (2001), Advanced Microeconomic Theory, 2nd ed., Addison-Wesley

8 9

16

Written examination 80% Presentation 20% Annually in the winter term Attendance: 45 h Self-study: 105 h 1 semester

13

Study start: winter semester 2015/16

Elective compulsory subjects Module group: Labor Economics

2

Module name A&P-3370 Courses/lectures

Empirische Arbeitsmarktforschung (Empirical labor market research) HS: Empirische Arbeitsmarktforschung (3 SWS)

3

Lecturers

Prof. Schnabel and Assistants

4

Module coordinator

Prof. Schnabel

5

Contents

6

Learning objectives and skills

Mittels vorgegebener Datensätze werden ökonometrische Analysemethoden auf aktuelle Fragestellungen der Arbeitsmarktökonomik angewendet und diese eigenständig empirisch untersucht. Die Studierenden lernen, Arbeitsmarktstudien kompetent zu interpretieren, zu bewerten und zu hinterfragen. Sie verstehen quantitative Methoden differenziert einzusetzen, Hypothesen zu bilden und diese empirisch zu überprüfen. Durch eigenes Arbeiten am PC werden sie in die Lage versetzt, selbständig Forschungsdesigns zu entwickeln, ökonometrische Analysen durchzuführen und deren Ergebnisse aufzubereiten. Zudem verstehen sie es, Erkenntnisse aus fremden oder eigenen empirischen Arbeiten prägnant darzustellen, kritisch zu bewerten und der (Fach-) Öffentlichkeit zu vermitteln.

7

11

Recommended Grundkenntnisse in Arbeitsmarktökonomik und Ökonometrie prerequisites Integration in curriculum 3. Semester Module compatibility Master Economics: Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Master Sozialökonomik: Vertiefungsbereich Method of examination - Kurztests - Hausarbeit Grading procedure Durchschnittsnote Kurztests (20%), Hausarbeit (80 %)

12

Module frequency

Jährlich im Wintersemester

13

Workload

14

Module duration

Präsenzzeit: 45 h Eigenstudium: 105 h 1 Semester

15

Teaching and Deutsch examination language (Recommended) reading Wechselnde aktuelle Forschungsliteratur

1

8 9

10

16

14

5 ECTS 5 ECTS

Study start: winter semester 2015/16

Module group: Labor Economics 1

Labor and personnel economics

5 ECTS

2

Module name MSE-2900 Courses/lectures

L: Labor and personnel economics E: Excercise labor and personnel economics

3 ECTS 2 ECTS

3

Lecturers

Prof. Schnabel and assistants

4

Module coordinator

Prof. Schnabel

5

Contents

10

- Labor supply - Human capital - Labor demand - Search and matching - Mobility and migration - Wages - Employment relationships and work incentives - Unemployment Learning objectives and The course imparts the major methods and insights of the analysis skills of labor markets and employment relationships. Students - learn the major determinants of labor supply and demand - understand the importance of human capital and work incentives - analyze the functioning of labor markets and the main reasons for unemployment - critically reflect labor market theories - are able to interpret and scrutinize empirical studies - evaluate labor market policy and firms’ compensation policy. Recommended Basic knowledge of microeconomics and empirical research prerequisites methods/econometrics Integration in 2. semester curriculum Module compatibility Master in Economics: Elective compulsory subjects Master Sozialökonomik: Vertiefungsbereich Method of examination Written examination (90 minutes)

11

Grading procedure

Written examination (100%)

12

Module frequency

13

Workload

14

Module duration

Annually in the summer term (from summer term 2016) Presence: 40 h Individual studies: 110 h 1. Semester

15

Teaching and examination language (Recommended) reading

6

7 8 9

16

English Cahuc, P./Carcillo, S./Zylberberg, A.: Labor Economics, 2nd ed., Cambridge, Mass. 2014 Garibaldi, P.: Personnel Economics in Imperfect Labour Markets, Oxford 2006

15

Study start: winter semester 2015/16

Module group: Labor Economics 1

Labor market policy

5 ECTS

2

Module name MSE-2910 Courses/lectures

S: Labor market policy

5 ECTS

3

Lecturers

Prof. Stephan

4

Module coordinator

5

6

7 8 9 10

11

12 13 14 15 16

Prof. Stephan Contents The course analyzes main topics in labor market policy, with a focus on evaluation studies of labor market institutions and active and passive labor market programs Learning objectives and Students skills  acquire specialized knowledge on policy debates, theoretical backgrounds, evaluation techniques, and empirical evidence for core labor market policies.  assess theoretical approaches, applied methods, and empirical results of recent research papers.  clearly present and scrutinize complex facts and results.  discuss presentations of fellow students and provide constructive feedback. Recommended Solid knowledge in microeconomics and econometrics prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Method of examination Seminar paper, presentation of seminar paper, class participation in terms of discussing a seminar paper of a fellow student Grading procedure Seminar paper (100 %), presentation of seminar paper (passed), class participation in terms of discussing a seminar paper of a fellow student (passed) Module frequency Annually in the winter term (from winter term 2016/17) Workload Presence: 30 h Independent study: 120 h Module duration 1 semester Teaching and English examination language (Recommended) Boeri, T., van Ours. J. (2013). The Economics of Imperfect Labor reading Markets, 2nd edition. Princeton: Princeton University Press. Varying recent literature

16

Study start: winter semester 2015/16

Module group: Labor Economics 1

Module name MSE-2390

2

Courses/lectures

3

Lecturers

4

Module coordinator

Prof. Bellmann

5

Contents

6

Learning objectives and skills

Mittels vorgegebener Datensätze werden ökonometrische Analysemethoden auf aktuelle Fragestellungen der Arbeitsmarktökonomik angewendet und diese eigenständig empirisch untersucht. Die Studierenden lernen, Arbeitsmarktstudien kompetent zu interpretieren, zu bewerten und zu hinterfragen. Sie verstehen quantitative Methoden differenziert einzusetzen, Hypothesen zu bilden und diese empirisch zu überprüfen. Durch eigenes Arbeiten am PC werden sie in die Lage versetzt, selbständig Forschungsdesigns zu entwickeln, ökonometrische Analysen durchzuführen und deren Ergebnisse aufzubereiten. Zudem verstehen sie es, Erkenntnisse aus fremden oder eigenen empirischen Arbeiten prägnant darzustellen, kritisch zu bewerten und der (Fach-) Öffentlichkeit zu vermitteln.

7

11

Recommended Kenntnisse in Arbeitsmarktökonomie und Ökonometrie prerequisites Integration in curriculum 3. Semester Module compatibility Master Arbeitsmarkt und Personal: Wahlbereich Master Economics: Elective compulsory subjects Method of examination Hausarbeit und Präsentation Grading procedure Note Hausarbeit 80 %, Note Präsentation 20 %

12

Module frequency

13

Workload

14

Module duration

15

Teaching and Deutsch examination language (Recommended) reading Wechselnde aktuelle Forschungsliteratur

8 9 10

16

Literaturseminar zu aktuellen Fragen der Arbeitsmarktökonomie (Literature seminar on current issues of labor economics) S: Literaturseminar zu aktuellen Fragen der Arbeitsmarktökonomie (3 SWS) Prof. Bellmann

Jährlich im Wintersemester Präsenzzeit 45 h Eigenstudium 105 h 1 Semester

17

5 ECTS

5 ECTS

Study start: winter semester 2015/16

Module group: Labor Economics

2

Module name MSE-3054 Courses/lectures

3

Lecturers

Panel- und Evaluationsverfahren (Panel and evaluation methods) V: Panel- und Evaluationsverfahren (2 SWS) Ü: Panel- und Evaluationsverfahren (1 SWS) Prof. Riphahn und Assistierende

4

Module coordinator

Prof. Riphahn

5

Contents

1

6

9

10

Method of examination

11

Grading procedure

8

2,5 ECTS 2,5 ECTS

Endogenität im linearen Regressionsmodell; Instrumentvariablenschätzung; Statische und dynamische Paneldatenmodelle; Matching; Difference-in Differences Schätzung; Regression Discontinuity Design; Quantilsregression; Praktische Umsetzung der Lerninhalte mit Hilfe der Statistiksoftware STATA Learning objectives and Aufbauend auf der Veranstaltung „Ökonometrie 1“ erwerben die skills Studierenden spezialisierte Kenntnisse in Panel- und Evaluationsverfahren und wenden diese mit Hilfe der Statistiksoftware STATA an. Sie beurteilen die kausale Interpretierbarkeit empirischer Zusammenhänge und entscheiden inwieweit Endogenitätsprobleme mithilfe von Paneldaten und exogener Variation gelöst werden können. Darüber hinaus sind die Studierenden in der Lage, eigene empirische Analysen zu erstellen. Recommended prerequisites Integration in curriculum Module compatibility

7

5 ECTS

Grundkenntnisse Statistik und Ökonometrie 3. semester Master Arbeitsmarkt und Personal: Pflichtbereich Master Marketing für Studierende mit Studienbeginn ab WS17/18: - Vertiefungsbereich Marketing Research - Wahlpflichtbereich der Modulgruppe „Statistik“ im Vertiefungsbereich Marketing Management Master Marketing für Studierende mit Studienbeginn vor WS17/18: - Vertiefungsbereich Marketing Research - Wahlpflichtbereich der Modulgruppe „Methoden“ im Vertiefungsbereich Marketing Management Master Sozialökonomik: Pflichtbereich „Vertiefung Methoden“ oder freier Vertiefungsbereich (MSE-3052) Master FACT: Vertiefungsbereich (Modulgruppe Interdisziplinäre Module) (MSE-3052) Master Economics:Elective compulsory subjects Master Management: Vertiefungsbereich (MSE-3052) Klausur (60 Min.) 100 % Klausur (Bei Notenverbesserung ist eine freiwillige, vorlesungsbegleitend erstellte Hausarbeit zu 20 % auf die Endnote anrechenbar, in der auf Basis eines Datensatzes und mit Hilfe von Stata eine empirische Fragestellung bearbeitet wird. Dabei kann sich die Klausurnote um bis zu 0,7 Notenpunkte verbessern. Die Prüfung ist nur bestanden, wenn auch die Klausur bestanden ist. Die Hausarbeit wird nur in dem Semester gewertet, in dem sie erstellt wurde.) 18

Study start: winter semester 2015/16

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

16

Jährlich im Wintersemester (geblockt in der 2ten Semesterhälfte) Präsenzzeit: 45 h Eigenstudium: 105 h Zweite Hälfte des Wintersemesters (geblockte Veranstaltung, pro Woche 4 SWS Vorlesung und 2 SWS Übung) Deutsch Hsiao, Cheng (2003), Analysis of Panel Data, 2nd ed. Cambridge Univ. Press. Lee, Myoung-Jae (2005), Micro-Econometrics for Policy, Program and Treatment Effects, Oxford Univ. Press. Wooldridge, J.M.(2010), Econometric Analysis of Cross Section and Panel Data, 2.A., MIT Press. Verbeek, Marno (2012), A Guide to Modern Econometrics, 4. A., Wiley.

19

Study start: winter semester 2015/16

Module group: Labor Economics

2

Module name MSE-3104 Courses/lectures

3

Lecturers

Mikroökonometrie (Microeconometrics) V: Mikroökonometrie (2 SWS) Ü: Mikroökonometrie (1 SWS) Prof. Riphahn und Assistierende

4

Module coordinator

Prof. Riphahn

5

Contents

1

5 ECTS 2,5 ECTS 2,5 ECTS

12

Konzept der Maximum-Likelihood-Schätzung in Matrixnotation; Schätz- und Testverfahren für diskrete abhängige Variablen, TobitModelle, Selektionsmodelle, Verweildauermodell, Zähldatenmodelle; Praktische Umsetzung der Lerninhalte mit Hilfe der Statistiksoftware STATA Learning objectives and Aufbauend auf der Veranstaltung „Ökonometrie 1“ erwerben die skills Studierenden spezialisierte Kenntnisse in nicht linearen Schätzund Testverfahren und wenden diese mit Hilfe der Statistiksoftware STATA an. Sie diskutieren und bewerten die Geeignetheit verschiedener Modelle im praxisbezogenen Kontext und erstellen eigene empirische Analysen im Rahmen einer freiwilligen Hausarbeit. Recommended Grundkenntnisse Statistik und Einführungsveranstaltung prerequisites Ökonometrie Integration in 2. Semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Sozialökonomik: freier Vertiefungsbereich oder im Pflichtbereich „Vertiefung Methoden“ (MSE-3102) Master in Management: Vertiefungsbereich (MSE-3102) Master Marketing: Wahlpflichtbereich der Modulgruppe „Methoden“ (MSE-3103) Master Arbeitsmarkt und Personal: Wahlbereich Method of examination Klausur (60 Min.) Grading procedure 100 % Klausur (Bei Notenverbesserung ist eine freiwillige, vorlesungsbegleitend ggf. in Gruppenarbeit erstellte Hausarbeit zu 20 % auf die Endnote anrechenbar, in der auf Basis eines Datensatzes und mit Hilfe von Stata eine empirische Fragestellung bearbeitet wird. Dabei kann sich die Klausurnote um bis zu 0,7 Notenpunkte verbessern. Die Prüfung ist nur bestanden, wenn auch die Klausur bestanden ist. Die Hausarbeit wird nur in dem Semester gewertet, in dem sie erstellt wurde.) Module frequency Jährlich im Sommersemester

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10 11

16

Präsenzzeit: 45 h Eigenstudium: 105 h 1 Semester Deutsch Cameron, Colin und Pravin K. Trivedi (2005), Microeconometrics. Methods and Applications, Cambridge Univ. Press. Verbeek, Marno (2012), A Guide to Modern Econometrics, 4. A., Wiley. 20

Study start: winter semester 2015/16

Wooldridge, J.M.(2010), Econometric Analysis of Cross Section and Panel Data, 2.A., MIT Press.

21

Study start: winter semester 2015/16

Module group: Labor Economics

2

Module name MSE-3071 Courses/lectures

3

Lecturers

S: Personnel economics (2SWS) (Compulsory attendance) Prof. Riphahn and team

4

Module coordinator

Prof. Riphahn

5

Contents

1

Personnel economics

5 ECTS 5 ECTS

12

The seminar addresses key topics of modern personnel economics research, such as hiring, contract design, motivation, training, teamwork, and group incentives. Learning objectives and Students acquire specialized knowledge of personnel economics skills theories and research questions. By preparing short thesis papers and a seminar paper students learn to evaluate and critically discuss methodological choices and substantive conclusions drawn in recent empirical research papers. Students assess theoretical approaches, applied empirical methods and results of recent research papers. Students present and scrutinize complex facts and results. They discuss the theoretical background, empirical method, and empirical evidence on personnel economics research contributions, discuss presentations of fellow students and provide constructive feedback. Compulsory attendance is required for discussion and feedback processes. Recommended Basic knowledge of microeconomics and econometrics prerequisites Integration in 2. Semester curriculum Module compatibility Master Economics): Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Master Sozialökonomik: freier Vertiefungsbereich oder im Bereich „Spezielle VWL“ Master Wirtschaftspädagogik, Studienrichtung I: Wahlbereich Method of examination S Seminar paper (group work), Handouts Grading procedure S: Seminar paper (60%), Handouts (40%) Module frequency annually in the summer term

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10 11

16

Presence: 45 hours Independent study: 105 hours 1 Semester English, written contributions can be submitted in German language Garibaldi, Pietro (2006), Personnel Economics in Imperfect Labour Markets, Oxford Univ. Press. Neilson, William S. (2007), Personnel Economics, Pearson Educ. Inc. Lazear, Edward P. (1998), Personnel Economics, MIT Press. Sowie eine Aufsatzsammlung.

22

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance 1

Module name MSE-3322

Advanced data analysis

2

Courses/lectures

L: Fortgeschrittene Datenanalyse (2 SWS) E: Fortgeschrittene Datenanalyse (2 SWS)

3

Lecturers

Prof. Klein and assistants

4 5

Module coordinator Contents

6

Learning objectives and skills

Prof. Klein Endogeneity; GMM, (recursive) interdependent systems; SURE model and CAPM; Structural equation modeling, path analysis; Copula models; Concepts of causality Applying structural equation models incl. PLS and confirmatory factor analysis on complex latent variable problems independently and using statistical software R; Evaluating possibilities and limits of causality analysis in comparison with dynamic approaches (e.g. Granger causality)

7

Recommended prerequisites Integration in curriculum Module compatibility

8 9

5 ECTS 2.5 ECTS 2.5 ECTS

Knowledge in basic lectures of econometrics 2. or 4. semester Master Economics: Elective compulsory subjects Master Marketing (MSE-3321) für Studierende mit Studienbeginn ab WS17/18: Wahlpflichtbereich der Modulgruppe „Data Science“ Master Marketing für Studierende mit Studienbeginn vor WS17/18: Wahlpflichtbereich der Modulgruppe „Methoden“ - Wahlmodul in der Modulgruppe „Methoden“ im Vertiefungsbereich Marketing Management Master FACT: Vertiefungs- und Ergänzungsbereich (MSE-3320) Master Arbeitsmarkt und Personal: Wahlbereich (MSE-3320) 30-minute oral examination Oral examination (100%) Annually in the summer term Presence: 60h Independent study: 90h

10 11 12 13

Method of examination Grading procedure Module frequency Workload

14 15

Module duration 1 semester Teaching and examination German language (Recommended) reading Verbeek, Marno (2008), A Guide to Modern Econometrics, 3rd Ed., Wiley. Greene, William (1997), Econometric Analysis, Prentice Hall. Fahrmeir, L., Hamerle, A., Tutz, G. (1996), Multivariate statistische Verfahren, deGruyter. McNeil, A., Frey, R., Embrechts, P. (2005), Quantitative Risk Management: Concepts, Techniques and Tools, Princeton University Press. Schlittgen, Rainer (2009), Multivariate Statistik, Oldenbourg.

16

Module group: Macroeconomics and Finance

23

Study start: winter semester 2015/16

2

Module name FACT-6530 Courses/lectures

3

Lecturers

4 5

Module coordinator Contents

1

6

7 8 9

10 11 12 13 14 15 16

Asset liability management (Versicherungen) (Asset liability management (insurance)) V + Ü (2 + 1 SWS): Asset liability management (Versicherungen) (Asset liability management (insurance)) Prof. Gatzert und Mitarbeitende

5 ECTS 5 ECTS

Prof. Gatzert - Darstellung von Konzepten zum Asset Management (grundsätzliche Überlegungen, Risikostreuung in der Praxis, rechtliche Rahmenbedingungen und strategische Aspekte der Kapitalanlagepolitik; Performancemessung) - Liability Management (Rückversicherungsformen, Alternativer Risikotransfer) - Asset Liability Management mit Fokus auf Versicherungen (Immunisierungsansätze (Cashflow und Duration Matching), Optimierungsstrategien, Szenarioanalysen und Dynamische Finanzanalyse) Learning objectives and - Die Studierenden erlernen, untersuchen und hinterfragen die skills grundlegenden und vertiefenden Konzepte des Asset sowie Liability Managements eines Versicherungsunternehmens - Hieraus folgern sie Methoden eines ganzheitlichen AssetLiability-Managements Recommended Keine prerequisites Integration in WS: 2. Semester; SS: 1. Semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master FACT: Vertiefungsbereich (Modulgruppe Finance and Insurance) Master Sozialökonomik: freier Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Master Management: Vertiefungsbereich Method of examination 60-minütige Klausur Grading procedure Klausur 100% Module frequency Jährlich im Sommersemester Workload Präsenzzeit: 45 h Eigenstudium: 105 h Module duration 1 Semester Teaching and Deutsch examination language (Recommended)  Die vorbereitende Literatur und auch die weitergehende, reading forschungsbezogene Literatur werden im Rahmen der Veranstaltung bekannt gegeben.

24

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name FACT-2560 Courses/lectures

Banking supervision: Bank rating, stress testing, financial stability L: Central banking (2 SWS)

3

Lecturers

Dr. Thomas Kick

4

Module coordinator

Prof. Merkl

5

Contents

This course covers a wide range of topics in banking supervision (e.g., bank rating models and risk assessment in banking supervision; different concepts of stress testing credit, market, and liquidity risk; development and analysis of bank stability indicators; bank resolution; financial stability and macroprudential oversight in the EU). Basic analytical concepts will be provided as a background; the last EBA/SSM Stress Test will be used to analyze the implications of such an exercise for banks, policy makers, and international organizations. A case study based on the econometrics software Stata will be used to develop empirical bank rating and stress testing tools.

6

Learning objectives and Students skills -learn about banking structure, regulation, bank bailouts, and corporate governance in banking. - understand and apply different concepts of bank rating and stress testing; develop tools using the econometrics software Stata. - analyze competition and efficiency in banking markets and understand the concept of financial stability.

7

9

Recommended prerequisites Integration in curriculum Module compatibility

10

Method of examination

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

15

Teaching and English examination language (Recommended) reading Presentation slides and relevant literature will be provided.

1

8

16

5 ECTS 5 ECTS

Macroeconomics (Bachelor) 1. and 3. semester Master Economics: Elective compulsory subjects Master FACT: Vertiefungsbereich (Modulgruppe Finance and Insurance) Written examination (60 minutes) Written examination (100%) [The grade can be improved up to 0.7 units with a voluntary project work.] Annually in the winter term Presence: 30 h Independent study: 120 h 1 semester

25

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name FACT-6270 Courses/lectures

3

Lecturers

V + Ü: Financial engineering and structured finance (2 + 1 SWS) Prof. Scholz and assistants

4

Module coordinator

Prof. Scholz

5

Contents

1

Financial engineering and structured finance

5 ECTS 5 ECTS

11

- Darstellung und Bewertung von Aktien-, Zinssatz- & Bondoptionen - Strukturierter Produkte im Fixed Income und Equity Bereich - Kapitalstruktur und Optionspreistheorie - Darstellung und Bewertung von Kreditderivaten Learning objectives and Die Studierenden skills - erarbeiten sich ein tiefgehendes Wissen über Aktien-, Zinssatz und Bondoptionen, können deren Einsatzmöglichkeiten beurteilen und ihren Wert bestimmen. - wenden zentrale Kenntnisse der Optionspreistheorie an, um Bestandteile komplexer, strukturierter Fixed Income- und EquityProdukte zu analysieren, diese zu bewerten und deren Wertbeitrag für Kunden einer Bank zu evaluieren. - können unter Berücksichtigung von Kundenpräferenzen eigenständig innovative Finanzprodukte entwickeln. - sind in der Lage die Positionen Eigen- und Fremdkapital von Unternehmen auf Basis der Optionspreistheorie zu bewerten. - können Instrumente zum Kreditrisikotransfer erläutern und deren Einsatzmöglichkeiten kritisch hinterfragen. Recommended Finanz- und Bankmanagement, Kapitalmarktorientierte prerequisites Unternehmenssteuerung Integration in WS: 2. Semester SS: 1. Semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master FACT: Vertiefungs- und Ergänzungsbereich Master Management: Vertiefungsbereich Master Sozialökonomik: Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Method of examination 60-minütige Klausur Grading procedure Klausur (100%)

12

Module frequency

Jährlich im Sommersemester

13

Workload

14

Module duration

Präsenzzeit: 45 h Eigenstudium: 105 h 1 Semester

15

Teaching and examination language (Recommended) reading

6

7 8 9

10

16

Deutsch Hull, John C.: Options, futures and other derivatives. Weitergehende, forschungsbezogene Literatur wird im Rahmen der Veranstaltung bekannt gegeben

26

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name FACT-3770 Courses/lectures

Finanz- und Bankmanagement (Financial and bank management) V + Ü: Finanz- und Bankmanagement (2 + 1 SWS)

3

Lecturers

Prof. Scholz and assistants

4

Module coordinator

5

Contents

6

Learning objectives and skills

7

Recommended keine prerequisites Integration in curriculum WS: 1. Semester SS: 2. Semester Module compatibility Master Economics: Elective compulsory subjects Master FACT: Vertiefungs- und Ergänzungsbereich Master Management: Vertiefungsbereich Master Wirtschaftspädagogik, Studienrichtung I: fachwissenschaftlicher Pflichtbereich, sofern nicht im Wahlbereich in Block 3 belegt; Studienrichtung II: fachwissenschaftlicher Wahlbereich Master Sozialökonomik: Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Method of examination 60-minütige Klausur Grading procedure Klausur (100%) Module frequency Jährlich im Wintersemester Workload Präsenzzeit: 45 h Eigenstudium: 105 h Module duration 1 Semester Teaching and Deutsch examination language (Recommended) reading Hartmann-Wendels, T. / Pfingsten, A. / Weber, M.: Bankbetriebslehre, Berlin. Weitergehende, forschungsbezogene Literatur wird im Rahmen der Veranstaltung bekannt gegeben

1

8 9

10 11 12 13 14 15 16

5 ECTS 5 ECTS

Prof. Scholz - Klassische Ansätze zum Management von Marktzinsrisiken - Darstellung und Bewertung moderner Finanzinstrumente und Finanzprodukte (z.B. Optionen, Futures, Forwards und Swaps) - „Value at Risk“ zur Messung finanzieller Risiken - Aufbau und Funktion von Finanzsystemen - Steuerungssysteme für Finanzunternehmen Die Studierenden - ermitteln Zinsrisiken von Anleiheportfolios und beurteilen Instrumente zur Reduktion von Zinsrisiken und deren Einsatz aus Kundensicht. - können diverse Fixed-Income Produkte wie Kupon-Anleihen, Floating Rates Notes und Zinsswaps bewerten und deren Chancen-Risiko-Profile beurteilen. - bestimmen die Kennzahl „Value at Risk“ für Portfolios und unter Anwendung verschiedene Konzepte der Volatilitätsschätzung. - können den generellen Aufbau und die Funktion des Banken und Finanzsystems erläutern - beurteilen auf Basis der Marktzinsmethode die Geschäftspolitik einer Bank.

27

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance 1

Module name MSE-3261

Fundamental statistical theory of econometrics

5 ECTS

2

Courses/lectures

L: Statistische Grundlagen der Ökonometrie (2 SWS) E: Statistische Grundlagen der Ökonometrie (2 SWS)

5 ECTS

3

Lecturers

Prof. Klein and colleagues

4 5

Module coordinator Contents

Prof. Klein

6

Learning objectives and Analytical understanding of the theoretical foundations of skills econometrics of normal distributed populations; Application of important theoretical statistical techniques (i.e. transformation of variables, asymptotic)

7

Recommended prerequisites

8 9

Integration in curriculum Module compatibility

10 11 12 13

Method of examination Grading procedure Module frequency Workload

14 15

Module duration Teaching and examination language (Recommended) reading

16

Multidimensional normal distribution; distributions derived from the normal distribution, distribution of functions of random variables, moment generating function technique; distribution of linear and quadratic forms of standard normal distributed random variables; Neyman-Pearson tests; generalized Likelihood-ratio-test; testing in the (general) linear model; asymptotic properties of OLS- and MLestimators; Wald- and LM-test

Basic knowledge in statistics, mathematical analysis and linear algebra, which is taught in relevant bachelor courses 3. semester Master in Economics: Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich (MSE-3260) written examination (120 minutes) Written examination (100%) Annually in the winter term Presence: 60h Independent study: 90h 1 semester German Fahrmeir, Ludwig; Hamerle, Alfred und Tutz, Gerhard, Multivariate statistische Verfahren, Walter de Gruyter (latest edition). Greene, William, Econometric Analysis, Prentice Hall (latest edition). Klein, Ingo, Stichproben aus normalverteilten Grundgesamtheiten, Vorlesungsskript (latest edition).

28

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name MSE-2290 Courses/lectures

3

Lecturers

4

Module coordinator

1

International finance

5 ECTS

Lecture: International finance, theory and policy (2 SWS) Exercise: International finance, theory and policy (1 SWS) Prof. Merkl

5 ECTS

12

Prof. Merkl Contents This course covers a wide range of topics (e.g., exchange rates and exchange rate regimes, national accounts and capital flows, international financial system, international banking and central banking). Basic economic concepts will be provided as a background. Statistics and empirical results will be shown to understand the validity of these concepts. Recent real life examples/case studies will be used to analyze the implications for policy makers, international organisations and business. Learning objectives and Students skills - understand and apply basic concepts of exchange rate determination and their validity. - learn about driving forces of capital flows. - analyze how international (central) banking and the international financial system work. - apply their knowledge in a presentation (either in case study style or in a small quantitative project). Recommended Macroeconomics (Bachelor) prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master IBS: Core courses Master Master FACT: Vertiefungsbereich (Modulgruppe Finance and Insurance) Method of examination Written examination (60 minutes) [The grade can be improved up to 0.7 units with a voluntary presentation during the winter term.] Grading procedure Written examination (100%) Module frequency Annually in the winter term

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

5

6

7 8 9

10

11

16

Presence: 45 h Independent study: 105 h 1 semester English Presentation slides and relevant literature will be provided

29

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance 1 2

Module name MSE-3342 Courses/lectures

3

Lecturers

S: Topics in macro-labor (2 SWS) L: Introduction to macro-labor theory and empirics (1 SWS) Prof. Gehrke/ Dr. Stüber

4

Module coordinator

Prof. Gehrke

5

Contents

-Stylized macroeconomic facts of the labor market -The labor market and business cycle dynamics -Modern dynamic labor market models and their role in macroeconomic models -The importance of wage rigidities

6

Learning objectives and Students learn skills - to analyze macroeconomic stylized facts of the labor market - to model unemployment in macroeconomics - to critically evaluate the ability of dynamic labor market models (e.g., search and matching) to replicate business cycle facts - to evaluate macroeconomic (policy) implications.

7

9

Recommended prerequisites Integration in curriculum Module compatibility

10

Method of examination

11

Grading procedure

Master Economics: Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Master Sozialökonomik: freier Vertiefungsbereich Seminar paper (12 pages), presentation of seminar paper (30 minutes), and class participation Seminar paper (80%), presentation (15%), class participation (5%)

12

Module frequency

Annually in the winter term

13

Workload

14

Module duration

Presence: 20 h Independent study: 130 h 1 semester

15

Teaching and English examination language (Recommended) reading Pissarides, C. Equilibrium Unemployment. 2000, MIT Press, Cambridge. Chapters 1 & 9. Recent research articles

8

16

Labor markets: A macroeconomic perspective

5 ECTS 4 ECTS 1 ECTS

Macroeconomics 1, Econometrics 3. semester

30

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name FACT-6540 Courses/lectures

3

Lecturers

4

Module coordinator

5

Contents

6

Learning objectives and skills

7

11

Recommended keine prerequisites Integration in curriculum WS: 2. Semester; SS: 1. Semester Module compatibility Master FACT: Vertiefungs- und Ergänzungsbereich Master Sozialökonomik: freier Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Master Economics: Elective compulsory subjects Master Management: Vertiefungsbereich Method of examination 60-minütige Klausur Grading procedure Klausur 100%

12

Module frequency

13

Workload

14

Module duration

15

Teaching and Deutsch examination language (Recommended) reading Die vorbereitende Literatur und auch die weitergehende, forschungsbezogene Literatur werden im Rahmen der Veranstaltung bekannt gegeben.

1

8 9

10

16

Lebensversicherung (Life insurance) V + Ü (2 + 1 SWS): Lebensversicherung (Life insurance) Prof. Gatzert und Mitarbeitende

5 ECTS 5 ECTS

Prof. Gatzert - Einführung in den Lebensversicherungsmarkt - Darstellung von klassischen und innovativen Lebensversicherungsprodukten (und den darin enthaltenen impliziten Optionen) - Versicherungsmathematische Aspekte: Bestimmung von Prämien und Deckungsrückstellungen auf Basis der typischen aktuariellen Rechnungsgrundlagen (Zins, Sterbetafeln) - Analyse und Bewertung von Fondsprodukten mit Garantien - Absicherung von Garantien in Fondsprodukten mit Kapitalanlagestrategien (u.a. Constant Proportion Portfolio Insurance) - Die Studierenden können aktuelle Entwicklungen im Lebensversicherungsmarkt beurteilen und hinterfragen diese - Die Studierenden berechnen Prämien und Deckungsrückstellungen von klassischen Lebensversicherungsverträgen - Des Weiteren bewerten sie klassische und fondsgebundene Lebensversicherungsprodukte mit verschiedenen Garantien und vergleichen verschiedene Methoden der Bewertung - Die Studierenden schätzen ein, wie verschiedene Arten von Finanzgarantien abgesichert werden müssen und wenden hierfür auch Kapitalanlagestrategien an

jährlich im Sommersemester Präsenzzeit: 45 h Eigenstudium: 105 h 1 Semester

31

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name MSE-2640 Courses/lectures

3

Lecturers

4

Module coordinator

1

Macroeconomic methods: Applications to monetary policy L: Macroeconomic methods: Applications to monetary policy (2 SWS) Prof. Dr. Britta Gehrke

5 ECTS 5 ECTS

11

Prof. Dr. Britta Gehrke Contents - Macroeconomic modeling and model solution illustrated with the New Keynesian model and extensions - Model evaluation using time series evidence - Structural vectorautoregressions - Estimation of DSGE models - Methods are illustrated with monetary policy applications Learning objectives and Students learn and evaluate methods of modern macroeconomic skills analyses. Students explore how to bridge theoretical macroeconomic models and empirical methods based on time series data. Students apply these methods to questions related to monetary policy. Recommended Macroeconomics 1, Econometrics prerequisites Integration in 2. semester curriculum Module compatibility Master in Economics: Elective compulsory subjects Master in Arbeitsmarkt und Personal: Wahlbereich Master in Sozialökonomik: freier Vertiefungsbereich Master FACT: Vertiefungsbereich (Modulgruppe Interdisziplinäre Module) Method of examination Project report (Projektarbeit), 10 pages. Grading procedure Project report (Projektarbeit) (100%)

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

5

6

7 8 9

10

16

Annually in the summer term Presence: 30 h Independent study: 120 h 1 semester English Canova, Fabio (2007), “Methods for Applied Macroeconomic Research”, Princeton University Press. DeJong, David N., and Chetan Dave (2011). ”Structural Macroeconometrics”, Princeton University Press.

32

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance 1

Module name MSE-3312

Multivariate time series analysis

5 ECTS

2

Courses/lectures

L: Multivariate Zeitreihenanalyse (2SWS) E: Multivariate Zeitreihenanalyse (2SWS)

2.5 ECTS 2.5 ECTS

3

Lecturers

Prof. Klein and assistants

4 5

Module coordinator Contents

Prof. Klein

6

Learning objectives and Application of tests for multivariate normality; ability to skills independently analyse multivariate stationary time series with vector autoregressive processes; assessment of the challenges of spurious correlations in the light of integrated time series and analysis of these time series for cointegration; comprehension and application of basic multivariate GARCH models; application of existing and development of proprietary functions for analysing multivariate time series using the statistical software R Recommended Proficiency in univariate time series analysis and basic concepts of prerequisites econometrics

7

9

Integration in curriculum Module compatibility

10 11 12 13

Method of examination Grading procedure Module frequency Workload

14 15

Module duration Teaching and examination language (Recommended) reading

8

16

Repetition: Concepts of univariate time series analysis; bivariate distributions: tests for multivariate normality, alternative distribution models; stationary vector autoregressive processes: basics, estimation, order selection, forecasting, structural analysis; integrated processes: spurious correlations versus cointegration, error correction models; multivariate GARCH models

2. semester Master Economics: Elective compulsory subjects Master FACT: Vertiefungs- und Ergänzungsbereich Master Arbeitsmarkt und Personal: Wahlbereich (MSE-3311) Master Marketing für Studierende mit Studienbeginn ab WS17/18: Wahlpflichtbereich der Modulgruppe „Data Science“ (MSE-3311) Master Marketing für Studierende mit Studienbeginn vor WS17/18: Wahlpflichtbereich der Modulgruppe „Methoden (MSE-3311) 30-minute oral examination Oral examination (100%) Annually in the summer term Presence: 60h Independent study: 90h 1 semester English Lütkepohl, H. (2005), New Introduction to Multiple Time Series Analysis, Springer. McNeil, A., Frey, R., Embrechts, P. (2005), Quantitative Risk Management: Concepts, Techniques and Tools, Princeton U.P. Schmid, F., Trede, M. (2006), Finanzmarktstatistik, Springer. Tsay, R.S. (2002), Analysis of Financial Time Series, Wiley. Verbeek, M. (2008), A Guide to Modern Econometrics, 3. Auflage, Wiley. 33

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance

2

Module name MSE-5200 Courses/lectures

Nichtparametrische statistische Verfahren 5 ECTS (Non-parametric statistical methods) L+E: Nichtparametrische statistische Verfahren (2+2 5 ECTS SWS) (Non-parametic statistical methods)

3

Lecturers

Prof. Klein and assistants

4

Module coordinator

Prof. Klein

5

Contents

1

10

Statistical Tests on basis of the empirical distribution, order statistics and rank tests for common problems (esp. Analysis of variance, experimental design); Non-parametric density estimation and regression; bootstrapping Learning objectives and Assessment of the procedures and competences mentioned above skills via statistical software R; Analytical evaluation of the results of studies applying nonparametrical methods. Recommended Basic lectures on Statistics in relevant Bachelor courses prerequisites Integration in First and second semester curriculum Module compatibility Master Economics): Elective compulsory subjects Master in Marketing: Wahlpflichtbereich der Modulgruppe „Methoden“; Modul dient als Ersatz für die Veranstaltung „Datenermittlung“ falls diese bereits in einem Bachelorstudiengang belegt wurde Master Sozialökonomik: freier Vertiefungsbereich oder im Pflichtbereich „Vertiefung Methoden“ Master FACT: Vertiefungsbereich (Modulgruppe Interdisziplinäre Module)Moreover, the Module may be used as substitut for the lecture "Datenermittlung" if this has yet been attended during Bachelor-courses Method of examination 30-minute oral examination

11

Grading procedure

Oral examination (100%)

12

Module frequency

Each summer term

13

Workload

14

Module duration

Presence:60h Home study: 90h 1 semester

15

Teaching and examination language (Recommended) reading

6

7 8 9

16

German Conover, W. J. (1999), Practical Nonparametric Statistics, 3rd ed., Wiley. Büning, H., Trenkler, G. (1994), Nichtparametrische statistische Methoden, 2. Aufl., Berlin.

34

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance 1 2 3

4 5

6

Modulbezeichnung FACT- 6470 Lehrveranstaltungen Lehrende

Versicherungs- und Risikotheorie (Risk and insurance theory) V + Ü (2 + 1 SWS): Versicherungs- und Risikotheorie (Risk and insurance theory) Prof. Gatzert und Mitarbeitende

Modulverantwortliche/r

Prof. Gatzert

Inhalt

Entscheidung bei Sicherheit, Unsicherheit, Risiko; Risikomessung, Risikowahrnehmung, Risikobeeinflussung (Vorgehen und Methoden); Risikobewertung am Beispiel der Versicherungsnachfrage und des Versicherungsangebots (individuell und aus Unternehmenssicht); Problematik der Informationsasymmetrien (Adverse Selektion, Moral Hazard); Enterprise Risk Management - Die Studierenden können Kenntnisse über die zentralen Konzepte der Risikobewertung und der Risikotheorie beurteilen und hinterfragen - Die Studierenden können die moderne Methodik der ökonomischen Theorie von Erstversicherungsentscheidungen erschließen und diese auf relevante Fragestellungen anwenden - Die Studierenden erlernen den Umgang mit Risiken, die Bewertung von Unternehmen sowie die internationale Kapitalbeschaffung keine

Lernziele und Kompetenzen

Empfohlene Voraussetzungen für die Teilnahme Einpassung in 8 Musterstudienplan Verwendbarkeit des 9 Moduls 7

10 11 12 13 14 15 16

Studien- und Prüfungsleistungen Berechnung Modulnote

Master FACT: Pflichtbereich Master Management: Vertiefungsbereich Master Wirtschaftspädagogik, Studienrichtung I: fachwissenschaftlicher Wahlbereich Master Arbeitsmarkt und Personal: Wahlbereich Master Economics: Elective compulsory subjects Master Sozialökonomik: freier Vertiefungsbereich 60-minütige Klausur Klausur (100%) jährlich im WS

Arbeitsaufwand

Präsenzzeit: 45 h Eigenstudium: 105 h 1.Semester

Unterrichts- und Prüfungssprache (Vorbereitende) Literatur

5 ECTS

WS: 1. Semester; SS: 2. Semester

Turnus des Angebots

Dauer des Moduls

5 ECTS

Deutsch Die vorbereitende und weitergehende, forschungsbezogene Literatur wird im Rahmen der Veranstaltung bekannt gegeben. 35

Study start: winter semester 2015/16

Module group: Macroeconomics and Finance Module nameMSE-4660 Large-scale data management

5 ECTS

2

Courses/lectures

S: Large-scale data management

5 ECTS

3

Lecturers

Prof. Merkl and assistants

4

Module coordinator

Prof. Merkl

5

Contents

- Large-scale microeconomic datasets are the prerequisite for answering many macroeconomic and finance research questions. - Students learn how to use and document these large-scale datasets.

6

Learning objectives and Students skills - choose a large-scale dataset, - learn how to use this dataset for applied econometric analysis, - prepare a documentation. Recommended „Macroeconomics: Business cycles“ and „Applied econometrics“ prerequisites Integration in 2. or 4. semester curriculum Module compatibility Master in Economics: Elective compulsory subjects

1

7 8 9

10 Method of examination

- Seminar paper (10 pages)

11 Grading procedure

Seminar paper (100%)

12 Module frequency

Module will be offered once during the summer term 2018

13 Workload

Presence time: 15 h Own work: 135 h 1 Semester

14 Module duration 15 Teaching and examination language 16 (Recommended) reading

English .

36

Study start: winter semester 2015/16

Empirical applications in financial economics

5 ECTS

2

Module name MSE-5370 7300 Courses/lectures

S: Empirical applications in financial economics

5 ECTS

3

Lecturers

Prof. Merkl and assistants

4

Module coordinator

Prof. Merkl

5

Contents

- Empirical applications in financial economics

6

Learning objectives and Students skills - use and analyze data from a practical partner (financial services firm). - apply advanced econometric techniques. - show and discuss the implications for the practical partner. Recommended „Macroeconomics: Business cycles“ and „Applied econometrics“ prerequisites .

1

7

8 9

Integration in curriculum Module compatibility

2. or 4. semester Master in Economics: Elective compulsory subjects

10 Method of examination

Seminar paper (15 pages) and presentation (15 minutes)

11 Grading procedure

Seminar paper (100%), presentation (passed) Module will be offered once during the summer term 2018

12 Module frequency 13 Workload 14 Module duration 15 Teaching an examination language 16 Recommended reading

Presence time: 30 h Own work: 120 h 1 Semester English .

37

Study start: winter semester 2015/16

Module group: Public Economics Public economics in theory and practice

5 ECTS

2

Module name MSE-4610 Courses/lectures

L + T: Public economics in theory and practice (2 + 2 SWS)

5 ECTS

3

Lecturers

Prof. Büttner and assistants

4

Module coordinator

Prof. Büttner

5

Contents

1

11

The lecture provides an introduction in public economics at intermediate level. The course first derives the basic theoretical foundations for an optimal design of public policy. In the second step, the course discusses specific aspects of public policy, such as taxation and redistribution, social security, tax evasion, debt finance, interjurisdictional competition and fiscal federalism and explores practical problems. Learning objectives and Students know how to characterize efficient public policies using skills microeconomic decision models. They can use this framework to study public policy in a rigorous and consistent general equilibrium context. Students are acquainted with important empirical approaches to evaluate public policies quantitatively. Moreover, they know about options, methods and limits to implement efficient public policy Recommended Basic microeconomics prerequisites Integration in 2nd Semester in MSE, FACT, Arbeitsmarkt und Personal curriculum 2nd Semester in Wing Module compatibility Master Economics: Elective compulsory subjects Master Wirtschaftsingenieurwesen: Wahlbereich Master FACT: Vertiefungs- und Ergänzungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Method of examination Written exam (90 minutes) Grading procedure Written exam (100%)

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10

16

Summer term Presence: 60 h Independent study: 90 h Lecture notes are provided at the beginning of the course. 1 semester English Hindriks and Myles (2006) Intermediate Public Economics, MIT Press Cambridge

38

Study start: winter semester 2015/16

Module group: Public Economics Behavioral economics

5 ECTS

2

Module name MSE-3281 Courses/lectures

Lecture: Behavioral economics (2 SWS) Exercise: Behavioral economics (1 SWS)

2,5 ECTS 2,5 ECTS

3

Lecturers

Prof. Grimm and assistants

4

Module coordinator

Prof. Grimm

5

Contents

1

11

The course provides a theoretical and empirical introduction into the area of “Behavioral Economics”. This relatively new area of economics research wants to identify important deviations from the predictions of classical economics models and to extend existing models to account for these findings. Learning objectives and In the course the method of experimental economics is introduced skills and its use for behavioral oriented research is learned. Students learn the skill of using empirical and experimental studies as complements to theory in the study of strategic interactions. Recommended Completed Bachelor degree in Economics or in a related prerequisites discipline, Microeconomics I and II Integration in 2. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Sozialökonomik: sozialökonomischer Vertiefungsbereich oder freier Vertiefungsbereich Master Arbeitsmarkt und Personal: Wahlbereich Master Marketing mit Studienbeginn ab WS17/18: Wahlmodul in der Modulgruppe „Interdisziplinäre Module“ Master Marketing mit Studienbeginn vor WS17/18: Wahlmodul in der Modulgruppe „Sonstiges“ Method of examination Written examination (90 min.) Grading procedure Written examination (100%)

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10

16

Annually in the summer term Presence: 45 h Independent study: 105 h 1 semester English Camerer, Colin F. (2003), Behavioral Game Theory: Experiments on Strategic Interaction, Princeton Univ. Press. Journale articles, announcement on chair website

39

Study start: winter semester 2015/16

Module group: Public Economics Economic internship

5 ECTS

2

Module name MSE-6441 Courses/lectures

P: External economic internship

5 ECTS

3

Lecturers

Prof. Büttner / Prof. Grimm / Prof. Merkl / Prof. Riphahn / Prof. Tauchmann

4

Module coordinator

1

5

6

7 8

9 10 11 12

13 14 15 16

Prof. Büttner / Prof. Grimm / Prof. Merkl / Prof. Riphahn / Prof. Tauchmann Contents Economic internship with research institutes, international organizations, research departments of firms in relation to the Master specialisation (Public, Labor, Macro & Finance, Health, or Energy) Learning objectives and Students obtain the chance to familiarize themselves with labor skills market opportunities for economists and learn how to apply economic concepts and methods in practice. Students also expand their command of important soft skills, including presentation techniques and communication skills. The participants exchange their practical experiences and insights and develop a critical reflection on economic practice and job market opportunities. Recommended Students should have completed all courses of the first semester. prerequisites Integration in Internship typically during the summer break. Presentation during curriculum the following semester. Please take notice of the application deadlines (communicated by the lecturer responsible for the respective specialisation) Module compatibility Master Economics: Elective compulsory subjects (Module does not belong to any specialisation) Method of examination Completed internship; written self-report; presentation of selfreport Grading procedure No grades (passed/failed) Module frequency Internship typically during the summer break. Presentation during the following semester. Please take notice of the application deadlines (communicated by the responsible lecturers for the respective specialisation) Workload 300 h (= 6 weeks internship (full time), self-report, presentation) Module duration 1 Semester Teaching and examination language (Recommended) reading

German and English Please note: The number of internships is limited. Interested students have to apply at the external institution with recommendation by the lecturer responsible for the respective specialisation. Students can in principle also be credited for other internships provided they are sufficiently associated with economic research and fit into one of the areas. An upfront written agreement with the respective lecturer is required.

40

Study start: winter semester 2015/16

Module group: Public Economics

2

Modulbezeichnung A&P-3081 Lehrveranstaltungen

3

Lehrende

1

Ökonomie der Sozialpolitik (Economics of social policy) S: Ökonomie der Sozialpolitik (3 SWS) (Anwesenheitspflicht) Prof. Wrede und Mitarbeiter/in

4 Modulverantwortliche/r 5 Inhalt

6 - Lernziele Kompetenzen

10 Studien- und Prüfungsleistungen 11 Berechnung Modulnote 12 Turnus des Angebots

14 Dauer des Moduls 15 Unterrichts- und Prüfungssprache 16 Literatur

5 ECTS

Prof. Wrede

Ausgewählte ökonomische Analysen der Sozialpolitik unter Einschluss ethischer und ökonomischer Grundlagen sowie institutioneller Aspekte und - Studierende kennen ausgewählte Bereiche der Sozialpolitik und können diese beschreiben und international vergleichen. - Studierende können ethische und ökonomische Grundlagen staatlicher Eingriffe in ausgewählten Bereichen sozialer Sicherung darstellen, interpretieren und diskutieren. - Studierende können Wirkungen sozialpolitisch relevanter Größen theoretisch und empirisch verstehen, bewerten und hinterfragen. - Studierende können sozialpolitische Maßnahmen unter Effizienzund Gerechtigkeitsgesichtspunkten bewerten und hinterfragen. - Studierende geben Ihren Kommilitonen im Rahmen ihrer Präsentationen strukturiertes Feedback. - Studierende fördern die Fachkenntnisse der anderen Studierenden durch themenspezifische Diskussionsbeiträge. - Studierende erfassen, bewerten und diskutieren ausgewählte aktuelle, meist englischsprachige Forschungsarbeiten in Ihrer Seminararbeit.

7 Empfohlene Voraussetzungen für die Teilnahme 8 Einpassung in Musterstudienplan 9 Verwendbarkeit des Moduls

13 Arbeitsaufwand

5 ECTS

Mikroökonomische und ökonometrische Kenntnisse 2. Semester Master Gesundheitsmanagement und Gesundheitsökonomie: Wahlbereich Master Arbeitsmarkt und Personal: Wahlbereich Master Economics: Wahlbereich VWL Master Wirtschaftspädagogik, Studienrichtung I: fachwissenschaftlicher Wahlbereich; Studienrichtung II: Wahlbereich im Zweitfach Sozialkunde Master Sozialökonomik: Vertiefungsbereich - Hausarbeit (15 Seiten) - Präsentation (15 Minuten) - Diskussionsbeitrag Hausarbeit 60%, Präsentation 20%, Diskussionsbeitrag 20% Jährlich im Sommersemester Präsenzzeit: 45 h Selbststudium: 105 h 1 Semester Deutsch Literatur wird in der Veranstaltung bekannt gegeben.

41

Study start: winter semester 2015/16

Module group: Public Economics 1

Seminar behavioral economics 1

5 ECTS

2

Module name MSE-2930 Courses/lectures

S: Seminar behavioral economics 1 (3 SWS) (Compulsory attendance)

5 ECTS

3

Lecturers

Prof. Grimm, Prof Utikal, and assistants

4

Module coordinator

Prof. Grimm and Prof. Utikal

5

Contents

6

Learning objectives and skills

The seminar sheds light on various issues in “market and institution design” focusing on selected applications. Market and institution design applies methods of game theory and (behavioral) economics to develop effective market rules. In this seminar, the focus will lie on market rules of various markets such as labor-markets or markets in the sector of health or public economics. In different market environments, phenomena like trust, social preferences, or bounded rationality are important. Understanding these aspects is of key importance for specifying the details of a particular market environment. In the seminar, we will analyse the peculiarities of selected markets and their implications for the effective organization of those markets from a theoretical and/or behavioural perspective. Students - Analyze the peculiarities of markets and their operating mode within the frame of complex theoretic and behavioral models, - Discuss the validity of those models based on experimental or empirical studies, - Evaluate, based on the literature, different market and institution designs, - Autonomously analyze complex questions and develop solution concepts - Are able to write a relevant theoretic or empirical scientific essay, - Develop their presentation skills.

7 8

Recommended Solid knowledge of microeconomics prerequisites Integration in curriculum 2. or 3. semester

9

Module compatibility

10

Method of examination

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

Master Economics: Elective compulsory subjects Master Marketing für Studierende mit Studienbeginn ab WS17/18: Wahpflichtbereich der Modulgruppe „Statistik“ Developing and writing a seminar paper (50%), presentation of the paper (30%), class participation: discussion of a fellow student’s paper (20%) 50% written seminar paper, 30% presentation, 20% class participation Each term Presence: 45h Independent study: 105h 1 semester

42

Study start: winter semester 2015/16

15 16

Teaching and English examination language (Recommended) reading Changing recent scientific literature

43

Study start: winter semester 2015/16

Module group: Public Economics 1

Seminar behavioral economics 2

5 ECTS

2

Module name MSE-2940 Courses/lectures

S: Seminar behavioral economics 2 (3 SWS) (Compulsory attendance)

5 ECTS

3

Lecturers

Prof. Grimm, Prof. Utikal, and assistants

4

Module coordinator

Prof. Grimm and Prof. Utikal

5

Contents

12

The seminar deals with theories and methods from behavioural and experimental economics. Although behavioral and experimental economics are relatively recent fields of research, many insights have been gained from applying the methods of the field to key economic questions. Relevant topics include, but are not limited to, nudging (in the sector of health, labor, public and energy economics), norm compliance (mainly public and labor economics), social preferences (mainly health and labor economics) or uncertainty preferences (energy economics). Depending on the topic of the seminar, questions of experimental design, conducting studies and analysis of behavioural data can be dealt with. Learning objectives and Students skills - Gain fundamental understanding of the methods of behavioral and experimental economics, - Learn to autonomously apply those methods, - Conceptualize own research ideas, - Analyze the peculiarities of complex economic situations, - Develop their presentation skills. Recommended Solid knowledge of microeconomics prerequisites Integration in 2. or 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Marketing für Studierende mit Studienbeginn ab WS17/18: Wahpflichtbereich der Modulgruppe „Statistik“ Method of examination Developing and writing a seminar paper (50%), presentation of the paper (30%), class participation: discussion of a fellow student’s paper (20%) Grading procedure 50% written seminar paper, 30% presentation, 20% class participation Module frequency Annually in the winter term

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10

11

16

Presence: 45h Independent study: 105h 1 semester English Camerer, Löwenstein and Rabin (2003), Advances in Behavioral Economics, Princeton University Press. Changing recent scientific literature

44

Study start: winter semester 2015/16

Module group: Public Economics 1

Seminar public economics 1

5 ECTS

2

Module name MSE-2950 Courses/lectures

Seminar public economics 1 (3 SWS)

5 ECTS

3

Lecturers

Prof. Büttner, Prof. Rincke, Prof. Wrede

4

Module coordinator

Prof. Büttner, Prof. Rincke, Prof. Wrede

5

Contents

Topics in Public Economics

6

11

Learning objectives and Students skills - study selected parts of the academic literature in public economics (mostly from scientific journals) and learn how to deal with this literature - learn how to identify relevant contributions in large bodies of economic literature - learn what up-to-date methods (theory and empirics) in public economics are - learn how to read economic papers and to evaluate and assess contributions, both in terms of theory and empirical methods - learn how to delineate conclusions from the academic literature in terms of policy implications and recommendations - learn how to structure and write academic theses in economics - expand their skills in terms of presentation techniques and participation in academic discussion Recommended All techniques and methods that are part of the curriculum in the prerequisites first semester Integration in 2. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Method of examination Seminar paper (15 pages), Presentation, class participation: Discussion of other participants’ presentations Grading procedure Seminar paper 50%, Presentation 30%, class participation 20%

12

Module frequency

Annually in the summer term

13

Workload

14

Module duration

Seminar attendance: 45 h Independent study: 105 h 1 semester

15

Teaching and examination language (Recommended) reading

7 8 9 10

16

English Will be provided

45

Study start: winter semester 2015/16

Module group: Public Economics 1

Seminar public economics 2

5 ECTS

2

Module name MSE-2960 Courses/lectures

Seminar public economics 2 (3 SWS)

5 ECTS

3

Lecturers

Prof. Büttner, Prof. Rincke, Prof. Wrede

4

Module coordinator

Prof. Büttner, Prof. Rincke, Prof. Wrede

5

Contents

Topics in Public Economics

6

11

Learning objectives and Students skills - study selected parts of the academic literature in public economics (mostly from scientific journals) and learn how to deal with this literature - learn how to identify relevant contributions in large bodies of economic literature - learn what up-to-date methods (theory and empirics) in public economics are - learn how to read economic papers and to evaluate and assess contributions, both in terms of theory and empirical methods - learn how to delineate conclusions from the academic literature in terms of policy implications and recommendations - learn how to structure and write academic theses in economics - expand their skills in terms of presentation techniques and participation in academic discussion Recommended All techniques and methods that are part of the curriculum in the prerequisites first semester Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Method of examination Seminar paper (15 pages), Presentation, class participation: Discussion of other participants’ presentations Grading procedure Seminar paper 50%, Presentation 30%, class participation 20%

12

Module frequency

Annually in the winter term

13

Workload

14

Module duration

Seminar attendance: 45 h Independent study: 105 h 1 semester

15

Teaching and examination language (Recommended) reading

7 8 9 10

16

English Will be provided

46

Study start: winter semester 2015/16

Module group: Public Economics

2

Module name MSE-5960 Courses/lectures

3

Lecturers

L: Spatial economics (2 SWS) E: Spatial economics (2 SWS) Prof. Wrede and assistants

4

Module coordinator

Prof. Wrede

5

Contents

1

Spatial economics

5 ECTS 5 ECTS

11

Geography, Trade, Mobility, and Agglomeration, Spatial Concentration, Regional Policy Learning objectives and At the end of this course, skills - Students are able to describe and to internationally compare the regional patterns of major economic activities in terms of stylized facts. - Students are able to present, interpret, and discuss selected theories in regional and urban economics. - Students are able to apply and assess selected empirical methods in spatial economics. - Students are able to assess empirical tests of selected hypotheses from theories in regional and urban economics to evaluate and critically examine their informative value. - Students are able to discuss and evaluate regional political implications of selected economic theories in regional and urban economics. - Students will assess, evaluate and discuss selected recent research papers in English. Recommended Microeconomics, Econometrics I prerequisites Integration in 2. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Method of examination written examination (60 min.) and presentation during the lecture (in groups, 10 min.); students need to pass the written examination Grading procedure Written examination 80%, presentation 20%

12

Module frequency

Annually in the summer term

13

Workload

14

Module duration

Presence: 60 h Independent study: 90 h 1 semester

15

Teaching and examination language (Recommended) reading

6

7 8 9 10

16

English Brakman, S., H. Garretsen and C. van Marrewijk (2010). An Introduction to Geographical Economics. Cambridge University Press. Cambridge, UK, 2nd Ed. Fujita, M. and J.-F. Thisse (2002). Economics of Agglomeration. Cities, Industrial Location, and Regional Growth. Cambridge University Press. Cambridge, UK. Selected articles from the Duranton, G., J. V. Henderson and W. C. Strange, eds. (2015). Handbook of Regional & Urban Economics - Volume 5, Elsevier, Amsterdam.

47

Study start: winter semester 2015/16

Module group: Public Economics Taxation and labor supply

2

Module name MSE-6410 Courses/lectures

3

Lecturers

Prof. Büttner and assistants

4

Module coordinator

Prof. Büttner

5

Contents

1

L: Taxation and labor supply (2 semester hours) E: Taxation and labor supply (2 semester hours)

5 ECTS 2,5 ECTS 2,5 ECTS

11

The course is concerned with the effects of taxation and welfare programs on the labor supply of private households from a theoretical as well as an empirical perspective. The lecture covers implications for the supply of hours, participation decisions, and tax evasion. Various details of the tax system are considered including progressive income taxes and allowances, consumption taxes, and also welfare aid. Key contributions and controversies are reviewed and also recent approaches to empirical testing and identifying tax effects in the data are discussed. Learning objectives and Students are able to apply the economic decision model to skills questions of household taxation and to analyse the consequences of key features of the tax system on labour supply decisions including hours and participation. Students understand, how the microeconomic theory can be used to make quantitative assessments of tax systems and to analyse the main empirical results and studies which are used in the current policy studies. Moreover, they are acquainted with new econometric approaches to study effects of taxation on labour supply decisions. Recommended Microeconomics prerequisites Integration in 2. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master FACT: Vertiefungs- und Ergänzungsbereich (MSE-3982) Master Arbeitsmarkt und Personal: Wahlbereich Method of examination Written examination (90 minutes) Grading procedure Written examination (100%)

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9

10

16

Annually in the summer term Presence: 60 h Independent study: 90 h Lecture notes are provided at the beginning of the course. 1 semester English Prescott, E. C., (2004), Why do Americans work so much more than Europeans, Federal Reserve Bank of Minneapolis Quarterly Review, 28, 2-13. http://www.minneapolisfed.org/research/QR/QR2811.pdf

48

Study start: winter semester 2015/16

Module group: Public Economics Taxation of capital income

2

Module name MSE-3984 Courses/lectures

3

Lecturers

Prof. Büttner and assistants

4

Module coordinator

Prof. Büttner

5

Contents

1

L: Taxation of capital income (2 semester hours) E: Taxation of capital income (2 semester hours)

5 ECTS 2,5 ECTS 2,5 ECTS

11

This course is concerned with the effects of various forms of capital income taxation on decisions of companies. Building on a consistent theoretical model of the firm, we discuss the implications of relevant taxes at the level of the firm and at the level of shareholder for financing and investment decisions. Each of the theoretical predictions is contrasted with the empirical evidence provided in the literature. While the main part of the lecture deals with an intertemporal model of firm decisions, the last part discusses how tax effects change under conditions of capital mobility. Learning objectives and Students know how to analyze and assess the economic skills consequences of capital income and business taxation using microeconomic decision models. They can use this framework to evaluate tax policy measures and tax reform proposals and understand how to analyze and assess the key issues in the field of company taxation. They are acquainted with the main empirical approaches to test and quantify the effects of taxation on investment and finance and can discuss the key findings in the empirical literature. Moreover, they know how the effects of capital income taxation differ under conditions of capital mobility including FDI and portfolio capital mobility. Recommended Microeconomics prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master FACT: Vertiefungs- und Ergänzungsbereich (MSE-3983) Method of examination Written examination (90 minutes) Grading procedure Written examination (100%)

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9 10

16

Annually in the winter term Presence: 60 h Independent study: 90 h Lecture notes are provided at the beginning of the course. 1 semester English Keuschnigg, C. (2005), Öffentliche Finanzen: Einnahmenpolitik, Mohr Siebeck, Kapitel XI. Auerbach, A. J. (2008), Taxation of corporate profits. The New Palgrave Dictionary of Economics. Second Edition.

49

Study start: winter semester 2015/16

Module group: Energy Markets

2

Module name MSE-8050 Courses/lectures

3

Lecturers

4

Module coordinator

1

Advanced industrial organization

5 ECTS

L: Advanced industrial organization (2 SWS) E: Advanced industrial organization (1 SWS) Prof. Zöttl

2,5 ECTS 2,5 ECTS

12

Prof. Zöttl Contents The goal of this course is to analyze topics that are important for an understanding of decision-making and firm behavior. Besides standard concepts such as price competition, product choice and market power, the course takes on topics such as free entry, switching costs, specific forms of price differentiation and bundling, asymmetric information, tying and platform markets. The integration of real-world cases in the course permits to focus on novel issues, such as competition policy in network markets, platform design, as well as pricing under asymmetric information. Learning objectives and Students then know how to model and analyze specific problems skills arising in the organization of different industries. They are able to connect real-world cases with the tools obtained in class and are able to propose own solution concepts for the situations considered. Recommended Solid knowledge in microeconomics, especially game theory (as prerequisites taught in Bachelorprogrammes) Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich Master Sozialökonomik: Vertiefungsbereich Master FACT: Vertiefungs- und Ergänzungsbereich Master Management: Vertiefungsbereich Method of examination Written examination (90 minutes) Grading procedure Written examination (100%). Students can improve their grade through a written assignment which then accounts for 20% of the grade. Module frequency Annually in the winter term

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

5

6

7 8 9

10 11

16

Presence: 30 h Independent Study: 120 h 1 semester English Belleflamme/Peitz (2010, 1. Auflage), Industrial Organization: Markets and Strategies, Cambridge University Press, ISBN 978-0521-68159-9.

50

Study start: winter semester 2015/16

Module group: Energy Markets 1 2

Module name MSE-2971 Courses/lectures

3

Lecturers

4

Module coordinator

5

Contents

Linear optimization

5 ECTS

L: Linear and combinatorial optimization (4 weekly lecture hours during the second half of the term) E: Linear and combinatorial optimization (2 weekly lecture hours during the second half of the term) Prof. Martin, other lecturers of the Mathematics department possible

5 ECTS

Prof. Martin

12

The main focus of this lecture is on the theory and solution of linear optimization problems. We will address geometric aspects of linear programming, duality, model creation and sensitivity analysis. This course also covers the Simplex Method for solving linear programs. Learning objectives and Students will skills • autonomously recognize and analyze problems in linear optimization, • discuss basic algorithmic concepts and apply them systematically, • classify methods of this field of study, • gather and assess relevant information and set it in context. Recommended Linear Algebra prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Method of examination • Homework (one exercise sheet per week) • Oral examination (15 minutes) Grading procedure Oral examination (100 %) Module frequency Annually in the winter term, in Erlangen Südgelände

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8 9 10 11

16

Presence: 45 h Independent study: 105 h 1 semester German • • •

Lecture notes Schrijver: Combinatorial Optimization, Springer 2003 Chvátal: Linear Programming, W.H. Freeman & Co, 1983

51

Study start: winter semester 2015/16

Module group: Energy Markets 1 2

Module name MSE-2972 Courses/lectures

3

Lecturers

4

Module coordinator

5

Contents

6

7 8 9 10 11 12 13 14 15 16

Combinatorial optimization

5 ECTS

L: Linear and combinatorial optimization (4 weekly lecture hours during the first half of the term) E: Linear and combinatorial optimization (2 weekly lecture hours during the first half of the term) Prof. Martin, other lecturers of the Mathematics department possible

5 ECTS

Prof. Martin

The main focus of this lecture is on the theory and solution of combinatorial optimization problems. We will address typical problems in graph theory like the Shortest Path Problem, the Spanning Tree or the Max-Flow Min-Cut Theorem. This course also covers basic algorithmic concepts such as Sorting, Greedy algorithm, Depth-first search/Breadth-first search and heuristics. Learning objectives and Students will skills • autonomously recognize and analyze problems in combinatorial optimization, • discuss basic algorithmic concepts and apply them systematically, • classify methods of this field of study, • gather and assess relevant information and set it in context. Recommended Linear Algebra prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Method of examination • Homework (one exercise sheet per week) • Oral examination (15 minutes) Grading procedure Oral examination (100 %) Module frequency Annually in the winter term, in Erlangen Südgelände (from winter term 2016/17) Workload Presence: 45 h Independent study: 105 h Module duration 1 semester Teaching and German examination language (Recommended) • Lecture notes reading • Schrijver: Combinatorial Optimization, Springer 2003 • Korte/Vygen: Combinatorial Optimization, Springer 2005

Module group: Energy Markets 52

Study start: winter semester 2015/16

2

Module name MSE-2980 Courses/lectures

3

Lecturers

4

Module coordinator

5

Contents

1

6

7 8 9 10

11 12 13 14 15 16

Methods and applications of mathematical optimization L: Methods and applications of mathematical optimization (2 weekly lecture hours) E: Methods and applications of mathematical optimization (1 weekly lecture hour) Prof. Liers, Prof. Schmidt and further lecturers from the Department of Mathematics

5 ECTS 5 ECTS

Prof. Liers, [email protected]

The focus of this module is on methods for modelling and solving optimization problems as they occur in the field of industry and economics. Advantages and disadvantages of different modelling techniques will be outlined and different reformulations will be presented in order to achieve efficient solution approaches. Students will learn how to present optimization results properly as well as how to interpret and evaluate these results for practical applications. This module covers topics such as optimization of transport networks (gas, water, energy), mathematical modelling and optimization techniques for market mechanisms in the energy sector and dealing with uncertain data. Learning objectives and The students skills  will gain an overview over applications of mathematical optimization  learn mathematical optimization modeling and solution techniques  learn to decide which solution approaches are suitable for which class of models Recommended Linear and Combinatorial Optimization prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Method of examination  (one worksheet per week)  Written examination (90 minutes) or oral examination (15 minutes) Grading procedure Written examination (100%) Module frequency Annually in the winter term (from winter term 2016/17) Workload Presence: 45 h Independent study: 105 h Module duration 1 semester Teaching and German examination language (Recommended)  Lecture Notes reading  Recent research literature

53

Study start: winter semester 2015/16

Module group: Energy Markets 1

Quantitative methods in energy market modelling

5 ECTS

2

Module name MSE-2591 Courses/lectures

Lecture: Quantitative methods in energy market modelling (2 SWS) Exercise: Quantitative methods in energy market modelling (1 SWS)

5 ECTS

3

Lecturers

Prof. Zöttl

4

Module coordinator

Prof. Zöttl

5

Contents

It is the purpose of the course to understand and quantitatively analyse the economic interaction of the players and institutions in liberalized energy markets. Liberalized electricity markets can be segmented in a regulated part (the networks) and the non-regulated parts (generation and retail) where private companies interact in a market environment. The interaction of the different agents is analysed with computational equilibrium frameworks based the concepts applied in industrial organization. Next to the fundamental understanding of the relevant market interaction, the models allow for a quantitative analysis of proposals for the design of energy markets. The participants thus develop the tools for an autonomous assessment of currently discussed policies in liberalized electricity markets (e.g. changed support schemes for renewables, changed network tariff systems, impact of capacity markets).

6

7

8

The course aims at students in the field of economics /business as well as students in the fields of engineering and mathematics. An integral part of the course id formed by homework assignments conducted in groups. The ability to cooperate also beyond the classical limits of each discipline is an important qualification for the students’ careers, which should be stimulated in the context of this course. Learning objectives and The students: skills - develop a clear picture of the relevant market participants in liberalized electricity markets and understand their incentives and objectives - learn fundamental concepts and models which allow to analyze the interaction at those markets - get to know important publically available data sources which allow for a quantitative analysis of the market situations considered - know the current challenges when designing those markets and can quantitatively analyze the solutions proposed in the current policy debate. Recommended The students should be familiar with the mathematical methods prerequisites acquired during their Bachelor degree. Institutional knowledge of electricity markets is not required. Integration in 2. semester. curriculum

54

Study start: winter semester 2015/16

9

Module compatibility

Master Economics: Elective compulsory subjects Master Engineering Master Mathematics

10

Method of examination

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

Written Examination (90 min.) Written examination (100%). Students can improve their grade through a written assignment which then accounts for 20% of the grade. The course takes place during the summer term (SS) Presence: 30h Independent study: 120h The module duration is 1 semester. To facilitate participation of students from the faculties of science and engineering the lectures will be condensed (ca. 5 appointments)

15

Teaching and examination language (Recommended) reading

16

English -

Daniel Kirschen and Goran Strbac: Power System Economics, Wiley 2004. Steven Stoft: Power System Economics, Wiley 2002. Wolfgang Ströbele, Wolfgang Pfaffenberger, Michael Heuterkes: Energiewirtschaft, Oldenbourg 2010.

55

Study start: winter semester 2015/16

Module group: Energy Markets 1

Seminar energy markets

5 ECTS

2

Module name MSE-2990 Courses/lectures

Seminar energy markets

5 ECTS

3

Lecturers

Prof. Grimm, Prof. Zöttl and assistants

4

Module coordinator

Prof. Grimm and Prof. Zöttl

5

Contents

It is the purpose of the seminar to deepen the understanding of the economic interaction of the players and institutions in liberalized energy markets. The participants learn and develop the tools for an autonomous economic assessment of currently discussed policies in liberalized electricity markets (e.g. changed support schemes for renewables, changed network tariff systems, impact of capacity markets). In cooperation with experts from the industry, students are also confronted with the practitioners’ perspective which requires a more detailed application of the economic concepts employed.

6

7

8 9

10

11

The course aims at students in the field of economics /business as well as students in the fields of engineering and mathematics. In the final workshop, all Students present and mutually discuss their results together with practitioners from the industry. The ability to communicate also beyond the classical limits of each discipline is an important qualification for the students’ careers, which should be stimulated in the context of this seminar. Learning objectives and The students skills - learn fundamental concepts and models which allow to analyze the economic interaction at energy markets, - Learn to autonomously apply those methods, - Conceptualize coherent analysis of current policy discussion of how to design energy markets, - In close exchange with a practitioner from industry, learn to apply in meaningful way the conceptual analysis and discussions to real world problems. - Develop their presentation skills. Recommended The students should be familiar with the mathematical methods prerequisites acquired during their Bachelor degree. Institutional knowledge of energy markets is helpful but not required. Integration in 2. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Sozialökonomik: freier Vertiefungsbereich Master Engineering Master Mathematics Method of examination Development of a written seminar paper (50%), presentation of the seminar paper (30%) and class participation: discussion of a fellow student’s seminar paper (20%) Grading procedure 50% seminar paper 30% presentation 56

Study start: winter semester 2015/16

20% class participation 12

Module frequency

Annually in the summer term

13

Workload

14

Module duration

Presence: 45 h Independent study: 105 h 1 semester

15

Teaching and examination language (Recommended) reading

16

German and English -

Daniel Kirschen and Goran Strbac: Power System Economics, Wiley 2004. Steven Stoft: Power System Economics, Wiley 2002. Wolfgang Ströbele, Wolfgang Pfaffenberger, Michael Heuterkes: Energiewirtschaft, Oldenbourg 2010.

57

Study start: winter semester 2015/16

Module group: Energy Markets 1 2

Module name MSE-3180 Courses/lectures

Mathematical optimization for communications & signal processing Lecture: (2 SWS), Exercise (1 SWS)

3

Lecturers

Prof. Liers, further lecturers from the Department of Mathematics

4

Module coordinator

Prof. Liers

5

Contents

5 ECTS 5 ECTS

9

The focus of this module is on methods for modeling and solving optimization problems as they occur in the field communication and signal processing. Starting from practical applications, different classes of optimization problems are introduced that include linear, mixed-integer linear, continuous non-linear as well as mixed-integer non-linear optimization problems. Advantages and disadvantages of different modeling techniques will be outlined and different reformulations will be presented in order to achieve efficient solution approaches. Students will learn how to present optimization results properly as well as how to interpret and evaluate these results for practical applications in communications and signal processing. Learning objectives and The students skills - have an overview over mathematical optimization in practice - apply mathematical optimization modeling and solution techniques - decide which solution approaches are suitable for which class of models - know available software and how to use it Recommended A bachelor course in Mathematics for Engineers. Recommended prerequisites are 3-4 courses in Mathematics for Engineers. Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects

10

Method of examination

Written examination (90min)

11

Grading procedure

Written examination (100%)

12

Module frequency

Annually in the winter term

13

Workload

14

Module duration

Presence: 45 h Independent study: 105 h 1 semester

15

Teaching and examination language (Recommended) reading

6

7 8

16

Teaching is in English only. In the exam, each student can choose between English and German.

58

Study start: winter semester 2015/16

Module group: Energy Markets 1 2

Module name MSE-4340 Courses/lectures

Seminar Optimierung in Energiemärkten (Seminar optimiziation in energy markets) Seminar Optimierung in Energiemärkten (2 SWS)

3

Lecturers

Prof. Liers, Prof. Martin

4

Module coordinator

Prof. Liers

5

Contents

5 ECTS 5 ECTS

9

Die aktuell angebotenen Themen warden von den Dozenten rechtzeitig bekannt gegeben. Learning objectives and Die Studierenden skills - Erarbeiten sich vertiefende Fachkompetenzen im Bereich der Optimierung von Energiemärkten; - Analysieren Fragestellungen und Probleme im Bereich der Optimierung von Energiemärkten und lösen diese mit wissenschaftlichen Methoden; - Verwenden relevante Präsentations- und Kommunikationstechniken und präsentieren die mathematischen Sachverhalte in mündlicher und schriftlicher Form; - Tauschen sich untereinander und mit dem Dozenten über Informationen, Ideen, Probleme und Lösungen auf wissenschaftlichem Niveau aus. Recommended lineare und kombinatorische Optimierung prerequisites Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects

10

Method of examination

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

6

7 8

16

Präsentation 90 Minuten (75%) Präsentationspapier 5-10 Seiten (25%) Präsentation 90 Minuten (75%) Präsentationspapier 5-10 Seiten (25%) Annually in the winter term Presence: 45 h Independent study: 105 h 1 semester Deutsch und Englisch

59

Study start: winter semester 2015/16

Module group: Health Economics 1

Applied empirical health economics

5 ECTS

2

Module name MiGG2162 Courses/lectures

S: Seminar applied empirical health economics (3 SWS)

5 ECTS

3

Lecturers

Prof. Tauchmann and assistants

4

Module coordinator

Prof. Tauchmann

5

Contents

6

7

8 9

The project seminar aims on introducing students to empirical research in the field of health economics. It is based on the textbook Jones, A. et al. (2013): Applied Health Economics. Each chapter of the book covers a topic of empirical health economics such as „inequality in health“, with a focus on specific methods (generalized Lorenz curve, probit regression for ordered categorical data, interval regression etc.) that are well suited for analyzing the specific research question. In particular, using these methods using the statistical software Stata® und using them for applied empirical work is key for the seminar. Each student chooses a chapter from the book and individually works on an empirical project that is closely related to the work that is present in the respective chapter. Support and advise how to do this is provided on the individual student level. In order to get (more) familiar with stata, students may participate in a Stata-crash course prior to working on their projects. Students write a seminar thesis in which they describe and communicate their research and give a presentation of their thesis in a seminar. Learning objectives and Students skills - become familiar with specific methods which are relevant in empirical health economics in health and learn to apply them to specific research questions - deepen their methodological competences by using them in applied work - acquire competences in developing and empirically addressing research questions in health economics  learn to present and to discuss results of empirical research Recommended o Profound Knowledge in micro econometrics prerequisites o Basic knowledge in the statistical software Stata ® (the course starts with an elective Stata® course, which is intended to quality students who do not know Stata® to successfully participate in the seminar)  Basic knowledge in health economics Integration in 3. semester curriculum Module compatibility Master Economics: Elective compulsory subjects Master Gesundheitsmanagement und Gesundheitsökonomie: Wahlbereich (MiGG-2161) Master Management: Vertiefungsbereich (MiGG-2161) Master Arbeitsmarkt und Personal: Wahlbereich (MiGG-2161) Master Sozialökonomik: freier Vertiefungsbereich (MiGG-2161) 60

Study start: winter semester 2015/16

10

Method of examination

Presentation (Präsentation) and seminar paper (Seminararbeit)

11

Grading procedure

12

Module frequency

35% presentation (Präsentation), 65% seminar paper (Seminararbeit) Jährlich im Wintersemester

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

16

Seminar attendance: 30 h Independent study: 120 h 1 semester German andEnglish Jones A., Rice, N. Bago d’Uva, T. & Balia, S. (2007): Applied Health Economics, Routledge.

61

Study start: winter semester 2015/16

Module group: Health Economics The economics of health insurance

5 ECTS

1

Module name MiGG-6792 Courses/lectures

L & E: The economics of health insurance

5 ECTS

2

Lecturers

Prof. Harald Tauchmann / Simon Reif

3

Module coordinator

Prof. Tauchmann

4

Contents

The course covers the economics of health care taking a microeconomic perspective. The course focusses on the market for health insurance and its imperfections that originate from the specific characteristics of health as a commodity and result in market failure and hence undesirable market outcomes such as adverse selection, moral hazard, and risk selection. Based on the theoretical analysis implications for the question of how to design a health (insurance) system are derived.

5

Learning objectives and skills

The students  learn to analyze the market for health insurance  acquire knowledge about the institutions of the German health insurance system and how to assess them from a theoretical perspective  test the theoretical predictions using empirical analyses

6

10

Recommended Solid skills in microeconomics, basic skills in econometrics prerequisites Integration in curriculum 2. semester Module compatibility Master Economics): Elective compulsory subjects Master Arbeitsmarkt und Personal: Wahlbereich (MiGG-6790) Master Sozialökonomik: freier Vertiefungsbereich oder in Bereich „Spezielle VWL“ (MiGG-6790) Master Wirtschaftspädagogik, Studienrichtung I: Wahlbereich (MiGG-6790) Master Management: Vertiefungsbereich (MiGG-6790) Master in Gesundheitsmanagement und Gesundheitsökonomie (MiGG-6790) (cannot be combined with the equivalent German language module “Gesundheitsökonomie I (Health Economics I)” Method of examination 90-minute written examination (100%). Students can improve their grade through giving a 20 minute presentation on a research paper that is related to a topic covered by the lecture, which then accounts for 20% of the grade (this requires the written exam to be graded not worse than 4.0; the max. improvement is 0.7 grades) Grading procedure Written examination (100 %)

11

Module frequency

Annually in the summer term

12

Workload

13

Module duration

Presence: 45 h Independent study: 105 h Weekly 90 min. lecture and fortnightly 90 min. exercise class over the lecture period (1 semester)

7 8

9

62

Study start: winter semester 2015/16

14 15

Teaching and English examination language (Recommended) reading Zweifel, P., Breyer, F., Kifmann, M. (2009): Health Economics, Springer 2nd ed.

63

Study start: winter semester 2015/16

Module group: Health Economics 1

Module name

The supply of medical services

5 ECTS

5 ECTS

MiGG-2153 2

Courses/lectures

L & E: The supply of medical services (2+1 SWS)

3

Lecturers

Prof. Tauchmann and Assistants

4

Module coordinator

Prof. Tauchmann

5

Contents

In this course the market for medical services and in particular the supply of services from physicians and hospitals is analyzed. The focus is on behavioural incentives and how they are shaped by the charactaristics of health as a special good as well as by institutional settings. Topics to be covered are “supplier induced demand”, “quality-quantity-relationship in hospitals” and “optimal reimbursement schemes”. The course will also cover individual health behaviour.Throughout the course microeconomic models will be used.

6

Learning objectives and Students skills  Understand the behavior of physicians from a microeconomic perspective  Can evaluate governmental regulations in health care markets  Can discuss reforms in the health care sector. 

7

Recommended prerequisites

8

Integration in curriculum

2. Semester

9

Module compatibility

Master Economics: Elective compulsory subjects

Solid knowledge of microeconomics and econometrics

Master Gesundheitsmanagement Wahlbereich (MiGG-2151)

und

Gesundheitsökonomie:

Master Management: Vertiefungsbereich (MiGG-2151) Master Sozialökonomik: sozialökonomischer Vertiefungsbereich oder freier Vertiefungsbereich (MiGG-2151) -Master Arbeitsmarkt und Personal: Wahlbereich (MiGG-2151) Master Wirtschaftspädagogik, Studienrichtung I: Wahlbereich (MiGG-2151) 10

Method of examination

Written examination (90 Min.)

11

Grading procedure

Written examination (100%)

64

Study start: winter semester 2015/16

12

Module frequency

Annually in the summer term

13

Workload

Attendance: 45 h Independent study: 105 h

14

Module duration

1 Semester

15

Teaching and examination language

German (In Summer Term 2018 also English)

16

(Recommended) reading

Zweifel, P., Breyer, F., Kifmann, M. (2013): Gesundheitsökonomik, Springer Gabler, 6. Aufl.

65

Study start: winter semester 2015/16

Module group: Health Economics

2

Modulbezeichnung MiGG-4821 Lehrveranstaltungen

Gesundheitsökonomische Evaluationen I (Health economic evaluations I) S: Gesundheitsökonomische Evaluationen I

3

Lehrende

Prof. Schöffski und Mitarbeitende

1

5 ECTS 5 ECTS

4

Modulverantwortliche/r

Prof. Schöffski

5

Inhalt

6

Lernziele und Kompetenzen

7

Empfohlene Voraussetzungen für die Teilnahme Einpassung in Musterstudienplan Verwendbarkeit des Moduls

Bei allen öffentlichen Großprojekten sind Kosten-Nutzen-Analysen zwingend vorgeschrieben. Die Methodik wurde im Gesundheitswesen weiterentwickelt, wo auch „intangible“ Effekte (z.B. Lebensqualität) berücksichtigt werden müssen. In der Veranstaltung werden die unterschiedlichen Studienformen, die Grundprinzipien, das Design von gesundheitsökonomischen Studien und insbesondere das QALY- und das Effizienzgrenzenkonzept behandelt. Die Studierenden - ermessen den Unterschied zwischen Effektivität und Effizienz im Gesundheitswesen - diskutieren verschiedene Möglichkeiten der Berechnung von Kosten und Nutzen medizinischer Maßnahmen und setzen Kosten und Nutzen verschiedener medizinischer Maßnahmen zueinander in Beziehung - beurteilen aktuelle Diskussionen zu dieser Thematik - vergleichen die verschiedenen Grundformen und -prinzipien gesundheitsökonomischer Evaluationen sowie die damit verbundenen Konzepte - schätzen das QALY-Konzept im Hinblick auf seine Relevanz ein - skizzieren das Design einer gesundheitsökonomischen Studie Keine

8 9

10 Studien- und Prüfungsleistungen 11 Berechnung Modulnote

2. Semester Master Gesundheitsmanagement und Gesundheitsökonomie: Pflichtbereich Master Management: Pflichtbereich II (MIM-4820) Master Economics:Elective compulsory subjects 60 min. Klausur (tw. mit MC-Aufgaben) Klausur (100 %)

12 Turnus des Angebots

Jährlich im SS

13 Arbeitsaufwand

Präsenzzeit: 45 h Eigenstudium: 105 h 1 Semester

14 Dauer des Moduls 15 Unterrichts- und Prüfungssprache 16 (Vorbereitende) Literatur

Deutsch Schöffski / Graf von der Schulenburg (Hrsg.): Gesundheitsökonomische Evaluationen, 3. oder 4. Aufl., Berlin u. a., 2007, 2008 oder 2012.

66

Study start: winter semester 2015/16

Module group: Health Economics

2

Modulbezeichnung MiGG-2850 Lehrveranstaltungen

Gesundheitsökonomische Evaluationen II (Health economic evaluations II) S: Gesundheitsökonomische Evaluationen II

3

Lehrende

Prof. Schöffski und Mitarbeitende

4

Modulverantwortliche/r

Prof. Schöffski

5

Inhalt

6

Lernziele und Kompetenzen

7

Empfohlene Voraussetzungen für die Teilnahme Einpassung in Musterstudienplan Verwendbarkeit des Moduls

Die Thematik wird in dieser Veranstaltung aufbauend auf der Grundlagenveranstaltung im 1. Semester weiter vertieft. Insbesondere werden hier die Methoden der Lebensqualitätsmessung behandelt und kritisch diskutiert. Weiterhin werden Modellierungen in Form von Entscheidungsbäumen und Markov-Modellen theoretisch und praktisch durchgeführt. Fallbeispiele runden diese Veranstaltung ab. Die Studierenden - verstehen die Problematik und die Relevanz der Messung von Lebensqualitätseffekten - können entsprechende Lebensqualitätsmessungen eigenständig durchführen - sind in der Lage verschiedene Modellierungsansätze beurteilen zu können - können einfache Modellierungen selbst konzipieren, durchführen und die Ergebnisse interpretieren. Die Pflichtveranstaltung Gesundheitsökonomische Evaluationen I sollte vor diesem Modul belegt worden sein.

1

8 9

10 Studien- und Prüfungsleistungen 11 Berechnung Modulnote

Master Gesundheitsmanagement und Gesundheitsökonomie: Pflichtbereich Master Management: Vertiefungsbereich Master Economics: Elective compulsory subjects Klausur (60 Min.) (tw. mit MC-Aufgaben) Klausur (100 %) Jährlich im WS

13 Arbeitsaufwand

Präsenzzeit: 45 h Eigenstudium: 105 h 1 Semester

15 Unterrichts- und Prüfungssprache 16 (Vorbereitende) Literatur

5 ECTS

3. Semester

12 Turnus des Angebots

14 Dauer des Moduls

5 ECTS

Deutsch Schöffski / Graf von der Schulenburg (Hrsg.): Gesundheitsökonomische Evaluationen, 3. oder 4. Aufl., Berlin u. a., 2007, 2008 oder 2012.

67

Study start: winter semester 2015/16

Free elective modules 

 

Up to 2 free elective modules worth 5 ECTS credits each may be taken. These are modules offered by the Faculty. When choosing modules, a subject-specific increase in expertise compared to the preceding Bachelor's degree must be proven. The programme coordinator must approve the suitability of the proposed courses. An overview on the available modules can be found here: https://www.campus.unierlangen.de/stgstruct/ Master of Science (65) Economics (636) PO-Version: 20152 / 1860 Miscellaneous. Languages as free elective modules: One course independent of level. Second course must be of level B2 or higher. Study abroad module 1

5 ECTS

2

Module name MSE-5691 Courses/lectures

Study abroad module 1 (Auslandsmodul 1)

5 ECTS

3

Lecturers

Lecturers in foreign University Dozierende an Universität im Ausland

4

Module coordinator

Prof. Tauchmann

5

Contents

1

6

7 8 9

EN: The content of the courses visited in the foreign university must be related to the topic of the master’s content. The master coordinator decides on the suitability of the courses using German or English documents. DE: Die an der ausländischen Universität besuchten Lehrveranstaltungen sollten einen thematischen Bezug zu den Inhalten des Masters haben. Eine Prüfung der Eignung der Lehrveranstaltungen erfolgt durch den Masterkoordinator auf der Basis deutsch- oder englischsprachiger Unterlagen. Learning objectives and EN: Students acquire comprehensive, detailed and specialised 6 skills knowledge on the research frontier. They are able to communicate this knowledge in a clear and unambiguous way in a foreign language. Besides gaining expertise students gain intercultural and social skills. Students can organize themselves and respond to changing requirements independently and in a problem-solving attitude. DE: Die Studierenden verfügen über umfassendes, detailliertes und spezialisiertes Wissen auf dem neuesten Erkenntnisstand der Wissenschaft. Sie können dieses Wissen in klarer und eindeutiger Weise auch in einer Fremdsprache vermitteln. Neben den Fachkompetenzen erwerben die Studierenden interkulturelle und soziale Kompetenzen. Die Studierenden können sich selbst organisieren und auf sich verändernde Anforderungen eigenständig und lösungsorientiert reagieren. Recommended 7 Learning Agreement prerequisites Integration in 2. or 3. semester curriculum Module compatibility Master Economics: Free elective modules

68

Study start: winter semester 2015/16

10

Method of examination

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language

16

(Recommended) reading

EN: In accordance with the method of examination of the foreign University. DE: In Übereinstimmung mit den Studien- und Prüfungsleistungen der ausländischen Universität. EN: Dependent on the grading scale and ECTS of the course. DE: Vom Notenschlüssel und den ECTS der Lehrveranstaltung abhängig. EN: In accordance with the course offer at the foreign University. DE: In Übereinstimmung mit dem Kursangebot an der ausländischen Universität. EN: In accordance with the time input of the courses of the foreign University. DE: In Übereinstimmung mit dem Arbeitsaufwand der Lehrveranstaltungen an der ausländischen Universität. 1 Semester EN: In accordance with the lecture language of the foreign university. DE: Unterrichtssprache des Landes der ausländischen Universität EN: Considering the specifications of the course at the foreign university. DE: Berücksichtigung der Angaben zu den Lehrveranstaltungen an der ausländischen Universität

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Study start: winter semester 2015/16

Module group: Public Economics Study abroad module 2

5 ECTS

2

Module name MSE-5692 Courses/lectures

Study abroad module 2 (Auslandsmodul 2)

5 ECTS

3

Lecturers

Lecturers in foreign University Dozierende an Universität im Ausland

4

Module coordinator

Prof. Tauchmann

5

Contents

EN: The content of the courses visited in the foreign university must be related to the topic of the master’s content. The master coordinator decides on the suitability of the courses using German or English documents.

1

9

DE: Die an der ausländischen Universität besuchten Lehrveranstaltungen sollten einen thematischen Bezug zu den Inhalten des Masters haben. Eine Prüfung der Eignung der Lehrveranstaltungen erfolgt durch den Masterkoordinator auf der Basis deutsch- oder englischsprachiger Unterlagen. Learning objectives and EN: Students acquire comprehensive, detailed and specialised 6 skills knowledge on the research frontier. They are able to communicate this knowledge in a clear and unambiguous way in a foreign language. Besides gaining expertise students gain intercultural and social skills. Students can organize themselves and respond to changing requirements independently and in a problem-solving attitude. DE: Die Studierenden verfügen über umfassendes, detailliertes und spezialisiertes Wissen auf dem neuesten Erkenntnisstand der Wissenschaft. Sie können dieses Wissen in klarer und eindeutiger Weise auch in einer Fremdsprache vermitteln. Neben den Fachkompetenzen erwerben die Studierenden interkulturelle und soziale Kompetenzen. Die Studierenden können sich selbst organisieren und auf sich verändernde Anforderungen eigenständig und lösungsorientiert reagieren. Recommended 7 Learning Agreement prerequisites Integration in 2. or 3. semester curriculum Module compatibility Master Economics: Free elective modules

10

Method of examination

6

7 8

11

12

Grading procedure

Module frequency

EN: In accordance with the method of examination of the foreign University. DE: In Übereinstimmung mit den Studien- und Prüfungsleistungen der ausländischen Universität. EN: Dependent on the grading scale and ECTS of the course. DE: Vom Notenschlüssel und den ECTS der Lehrveranstaltung abhängig. EN: In accordance with the course offer at the foreign University. DE: In Übereinstimmung mit dem Kursangebot an der ausländischen Universität.

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Study start: winter semester 2015/16

13

Workload

14

Module duration

15

Teaching and examination language

16

(Recommended) reading

EN: In accordance with the time input of the courses of the foreign University. DE: In Übereinstimmung mit dem Arbeitsaufwand der Lehrveranstaltungen an der ausländischen Universität. 1 Semester EN: In accordance with the lecture language of the foreign university. DE: Unterrichtssprache des Landes der ausländischen Universität EN: Considering the specifications of the course at the foreign university. DE: Berücksichtigung der Angaben zu den Lehrveranstaltungen an der ausländischen Universität

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Study start: winter semester 2015/16

Master’s thesis Master’s thesis

30 ECTS 25 ECTS 5 ECTS

2

Module name MSE-1997 Courses/lectures

3

Lecturers

Master’s thesis (0 SWS) S: Master's thesis seminar (2 SWS) All professors of the Master in Economics

4

Module coordinator

All professors of the Master in Economics

5

Contents

EN: Students write their master's thesis. In the seminar students present and discuss their master's thesis.

1

DE: Die Studierenden erstellen Ihre Masterarbeit. Im Rahmen des Seminars präsentieren und diskutieren die Studierenden ihre Masterarbeiten. EN: Master's thesis: In the master's thesis students show that they are able to work on a topic or an economic issue within a prescribed period independently and with scientific methods. They can prepare the findings concisely and interpret them competently. Master’s thesis seminar: Students discuss their own and other contributions to economic research. The seminar should assist students in the preparation of the master’s thesis and give them important support to the independent solution and presentation of issues. DE: Masterarbeit: In der Masterarbeit zeigen Studierende, dass sie in der Lage sind innerhalb einer vorgegebenen Frist ein Thema bzw. eine ökonomische Fragestellung selbständig und mit wissenschaftlichen Methoden zu bearbeiten sowie die Erkenntnisse prägnant aufzubereiten und kompetent zu interpretieren. Seminar zur Masterarbeit: Studierende diskutieren eigene und andere Beiträge zur volkswirtschaftlichen Forschung. Das Seminar soll die Studierenden bei der Anfertigung der Masterarbeit unterstützen und ihnen wichtige Hilfen zur selbständigen Lösung und Darstellung von Problemen geben. EN: Courses from the 1. – 3. semesters DE: Besuch der Veranstaltungen des 1. - 3. Semesters

6

Learning objectives and skills

7

9

Recommended prerequisites Integration in curriculum Module compatibility

10

Method of examination EN:

8

4. semester Master Economics

Master’s thesis: written thesis paper Master’s thesis seminar: presentation of the master’s thesis DE:

72

Study start: winter semester 2015/16

11

Grading procedure

12

Module frequency

13

Workload

14

Module duration

15

Teaching and examination language (Recommended) reading

16

Masterarbeit: Schriftliche Arbeit Seminar: Präsentation zur Masterarbeit EN: Master’s thesis 25 ECTS Presentation in the seminar 5 ECTS DE: Masterarbeit 25 ECTS Präsentation im Seminar 5 ECTS EN: Master’s thesis: flexible timing Master’s thesis seminar: annually in the summer term DE: Masterarbeit: Angebot zeitlich flexibel Seminar zur Masterarbeit: Jährlich im Sommersemester EN: Master’s thesis: Independent study: 750 h Master’s thesis seminar: Presence: 30 h Independent study: 120 h DE: Masterarbeit: Eigenstudium: 750 h Seminar zur Masterarbeit: Präsenzzeit: 30 h Eigenstudium: 120 h 1 semester (6 months) German or English EN: Changing current research literature DE: Wechselnde aktuelle Forschungsliteratur

73