BE INSPIRED

"To be able to conduct high-quality quantitative and qualitative research, the CDSE offers a wide range of methodological courses that prepare you well for this purpose." Sihong Zhang and Katharina Momsen, CDSE

Fall 2019

Course Catalogue

Fall 2019

Economics


Course Type: core course

Course Number: E700

Credits: 6

Prerequisites

Basic mathematical knowledge


Course Content

The course consists of four chapters:

  • Chapter 1: basic mathematical concepts like sets, functions and relations are introduced and discussed. Strict mathematical reasoning is explained and applied.
  • Chapter 2: covers the concept of metric and normed spaces and discusses the convergence of sequences in these spaces, the continuity of functions, and the concept of compact sets.
  • Chapter 3: deal with vector spaces. matrix algebra, linear transformation, and eigenvalues of matrices.
  • Chapter 4: covers a multivariate concept of differentiability and its application in solving unconstraint and constrained optimization problems.

Requirements for the assignment of ECTS Credits and Grades

Exam (120 min)

The exam takes place on October 2 2019, 3:30-5:30 pm in EW242 Otto Mann Hörsaal (Schloss Ehrenhof West).


Competences acquired

The students know basic mathematical concepts of analysis and linear algebra. They can interpret mathematical formulas that are written in the condensed mathematical syntax. The students understand the concept of a proof and can develop rigorous mathematical proofs in a elementary level. They understand abstract mathematical concepts like metric spaces and linear spaces and are able to comprehend argumentation on basis of abstract mathematical concepts. They are able to apply their knowledge; especially they are familiar with the calculation of limits and derivatives, the methods of linear algebra, and they can solve nonlinear optimization problems. The students are able to communicate their mathematical knowledge in English.

 

Teaching Assistants

Exercise Group 1 & 3: Can Çelebi (CDSE)

Exercise Group 2 & 4: Giovanni Ballarin (CDSE)

Download supplemental material >>

 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Lecture
02.09.19
23.09.19
Monday
10:15
11:45
A5, 6, C015
Lecture
03.09.19
24.09.19
Tuesday
10:15
11:45
A5, 6, C015
Lecture
04.09.19
25.09.19
Wednesday
10:15
11:45
A5, 6, C014
Lecture
05.09.19
26.09.19
Thursday
10:15
11:45
B6, 30-32, E-F, 308
Written exam
02.10.19
Wednesday
15:30
17:30
EW242 Otto Mann Hörsaal (Schloss Ehrenhof West)
Retake Exam
11.12.19
Wednesday
15:30
17:30
A 5, 6, C 012
Tutorial
Group 1
02.09.19
23.09.19
Monday
13:45
15:15
B6, 23-25, A 304
Group 2
02.09.19
23.09.19
Monday
13:45
15:15
B6, 23-25, A 303
Group 3
02.09.19
23.09.19
Monday
15:30
17:00
B6, 23-25, A 304
Group 4
02.09.19
23.09.19
Monday
15:30
17:00
B6, 23-25, A 303
Group 1
03.09.19
24.09.19
Tuesday
13:45
15:15
B6, 23-25, A 304
Group 2
03.09.19
24.09.19
Tuesday
13:45
15:15
B6, 23-25, A 301
Group 3
03.09.19
24.09.19
Tuesday
15:30
17:00
B6, 23-25, A 304
Group 4
03.09.19
24.09.19
Tuesday
15:30
17:00
B6, 23-25, A 301
Group 1
04.09.19
25.09.19
Wednesday
13:45
15:15
B6, 23-25, A 304
Group 2
04.09.19
25.09.19
Wednesday
13:45
15:15
B6, 23-25, A 303
Group 3
04.09.19
25.09.19
Wednesday
15:30
17:00
B6, 23-25, A 304
Group 4
04.09.19
25.09.19
Wednesday
15:30
17:00
B6, 23-25, A 305
Group 1
05.09.19
26.09.19
Thursday
13:45
15:15
B6, 23-25, A 301
Group 2
05.09.19
26.09.19
Thursday
13:45
15:15
B6, 23-25, A 302
Group 3
05.09.19
26.09.19
Thursday
15:30
17:00
B6, 23-25, A 304
Group 4
05.09.19
26.09.19
Thursday
15:30
17:00
B6, 23-25, A 302

Lecturer(s)


Course Type: core course

Course Number: E701

Credits: 8

Prerequisites

Prerequisites

E700

 

Requirements for the assignment of ECTS-Credits and Grades

  • Written exam: 120 min (90% weighting)
  • Exercises (10% weighting)

Course Content

The course gives a foundation for studies in microeconomics at the Ph.D. level. The first part is devoted to decision theory. It is organized as follows:

1. Choice, preferences and utility

2. Choice under uncertainty: Expected utility

3. Utility for money

4. Behavioral models of choice under uncertainty

 

The second part covers game theory and is organized as follows:

5. Static games of complete information: Rationalizability and iterated strict dominance

6. Static games of complete information: Nash equilibrium

7. Static games of incomplete information

8. Dynamic games: The extensive form

9. Dynamic games: Equilibrium concepts

 


Competences acquired

The students will acquire the basic tools for graduate-level microeconomic analysis. They will learn how to model decision-making and strategic interactions. They will acquire important mathematical skills used in decision theory and game theory.They will be able to apply that theory to their own research and to read recent developments in the field. The concepts learned in the course serve as building blocks for more advanced topics such as the ones covered in Advanced Microeconomics II and III, and also for macroeconomics and empirical economics. Students also learn how to write rigorous formal proofs to address microeconomic questions.

 

Textbook references

  • Fudenberg, D & Tirole, J. (1991). Game Theory. MIT Press
  • Kreps, D. (2012). Microeconomic Foundation 1: Choice and Competitive Markets. Princeton University Press.
  • Mas- Colell, A. Whinston, M.D. & Green, J. (1995). Microeconomic Theory. Oxford University Press.
  • Osborne M. and Rubinstein, A. (1994): A Course in Game Theory. MIT Press

 

Contact Information

Nicolas Schutz; Phone: (0621) 181 1872; email: schutz@uni-mannheim.de, Office: 3-10, Office hours: by appointment.

 

Teaching Assistant

Can Çelebi



Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Lecture
07.10.19
02.12.19
Monday
10:15
11:45
L9, 1-2, 004
Lecture
09.10.19
04.12.19
Wednesday
10:15
11:45
L7, 3-5, 001
Written Exam
09.12.19
Monday
10:15
12:15
Schloss O 129
Retake Exam
27.01.20
Monday
10:15
12:15
B6, 30-32, 211
Tutorial
Tutorial
09.10.19
04.12.19
Wednesday
12:00
13:30
B6,30-32, 110
Tutorial
10.10.19
05.12.19
Thursday
12:00
13:30
B6, 30-32, 309


Course Type: core course

Course Number: E702

Credits: 8

Prerequisites

E700


Course Content

Goals and Contents of the Module:

This course provides an introduction to the foundations of modern macroeconomic analysis. The main object of this course will be structural dynamic models where households' preference, firms' technology, and market structure are explicitly specified. The behaviors of agents in the model economy are derived based on microeconomic foundations. The macroeconomic aggregates are then determined by aggregating individuals' micro-founded decisions. We will consider some applications as well.


Requirements for the assignment of ECTS credits and grades:

  • Problem sets (15%)
  • Midterm (90 min, 35%)
  • Final exam (120 min, 50%)


Literature:

  • Stokey, Nancy, and Robert Lucas with Edward Prescott (1989): Recursive Methods in Economic Dynamics. Harvard University Press.
  • Ljungqvist, Lars, and Thomas J. Sargent. (2012) Recursive macroeconomic theory. MIT press.
  • Acemoglu, Daron (2009): Introduction to Modern Economic Growth, Princeton University Press.

    Competences acquired

    Expected Competences acquired after Completion of the Module:

    At the end of the semester, students are expected to be familiar with the basic methodology such as recursive methods and dynamic programming as well as the basic macroeconomic models.

     

    Teaching Assistant

    Timo Reinelt

     


    Schedule

    Type
    From
    To
    Weekday
    From
    To
    Room
    Material
    Lecture
    Lecture
    08.10.19
    03.12.19
    Tuesday
    15:30
    17:00
    L7, 3-5, S031
    Lecture
    09.10.19
    04.12.19
    Wednesday
    15:30
    17:00
    L7, 3-5, P044
    Written Exam
    12.12.19
    Thursday
    10:15
    12:15
    Schloss O 129
    Retake exam
    30.01.20
    Thursday
    10:15
    12:15
    B6, 30-32, 211
    Tutorial
    Tutorial 1
    09.10.19
    04.12.19
    Wednesday
    13:45
    15:15
    L7, 3-5, P 043
    Tutorial 2
    10.10.19
    05.12.19
    Thursday
    13:45
    15:15
    L7, 3-5, P 043

    Lecturer(s)


    Course Type: core course

    Course Number: E703

    Credits: 8

    Prerequisites

    E700


    Course Content

    The goal of the module is to offer advanced treatment to econometric theory and to serve as the gateway to further advanced theoretical and applied econometric modules offered in the economics graduate program at the Department of Economics in Mannheim.
    In the module an introduction will be given to the probabilistic framework of econometric theory.
    In the first part, basic notions of probability theory with their measure theoretical background are explained: probability measure, random variables, expectations, conditional expectations, notions of convergence and basic limit theorems.
    The second part will be devoted to the formal derivation of theoretical foundations of linear regression models. The theory of the first part is then applied to obtain asymptotic properties of parameter estimators and to set up statistical tests in this framework.
    The module gives training in the use of mathematical arguments in the theory of asymptotic econometrics.

    Requirements for the Assignment of ECTS Credits and Grades:

    written exam, 120 min,
    regular attendance required


    Literature:

    • Hayashi, F. (2000). Econometrics. Princeton University Press.
    • Jacod, J. and Protter, P. (2000). Probability Essentials. Springer.

      Competences acquired

      On successful completion of the module, students are expected to attain the following competences:

      • Attain advanced theoretical knowledge in econometrics in the specific topics the module covers.
      • Be familiar with current theories and recent developments in the specific topics of focus for the module.
      • Attain a higher/advanced level of analytical capability.
      • Attain knowledge in the probabilistic background of advanced theoretical econometrics.
      • Be in a position to take on follow-up advanced theoretical and applied econometrics modules.
      • Attain the level of competence that permits independent undertakings in search of new knowledge in the specialist areas the module covers.
      • Attain the level of competence required to carry out (theoretical) research-oriented projects independently.
      • To be in a position to exchange information, ideas, and solutions with experts of the field on a scientific level as well as with laymen.
      • To be able to communicate and to work effectively and efficiently with people and in groups.
      • Graduates are able to communicate precisely in the English specialist language.

       

      Teaching Assistant

      Alexander Kreiß


      Schedule

      Type
      From
      To
      Weekday
      From
      To
      Room
      Material
      Lecture
      Lecture
      08.10.19
      03.12.19
      Tuesday
      10:15
      11:45
      L7, 3-5, 001
      Lecture
      10.10.19
      05.12.19
      Thursday
      10:15
      11:45
      L7, 3-5, 001
      Written Exam
      17.12.19
      Tuesday
      10:15
      12:15
      Schloss O 129
      Retake Exam
      03.02.20
      Monday
      10:15
      12:15
      B6, 30-32, 211
      Tutorial
      Exercise 1
      08.10.19
      03.12.19
      Tuesday
      13:45
      15:15
      L7, 3-5, P 043
      Exercise 2
      08.10.19
      03.12.19
      Tuesday
      17:15
      18:45
      L7, 3-5, P 043

      Lecturer(s)


      Course Type: elective course

      Course Number: E800

      Credits: 12

      Prerequisites

      2nd and higher year Ph.D. students from the Center for Doctoral Studies in Economics (CDSE)

      2nd year students from the Master of Economic Research


      Course Content

      Method (hours per week): Colloquium (2 h)

      Duration of the module: 4 semesters

      ECTs awarded after each semester: 3 ECTs


      Schedule

      Type
      From
      To
      Weekday
      From
      To
      Room
      Material
      Seminar
      Seminar
      03.09.19
      Tuesday
      15:30
      17:00
      L7, 3-5, S031
      Seminar
      10.09.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      17.09.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      01.10.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      08.10.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      22.10.19
      Tuesday
      15:30
      17:00
      L7, 3-5, 001
      Seminar
      05.11.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      12.11.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      26.11.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044
      Seminar
      03.12.19
      Tuesday
      15:30
      17:00
      L7, 3-5, P 044

      Lecturer(s)


      Course Type: elective course

      Course Number: E8004

      Credits: 2.5

      Prerequisites

      Presentations


      Course Content

      Students will read, present and discuss papers in environmental economics.


      Competences acquired

      • Presentation skills
      • Participation in scientific discourse
      • Absorption of recent research in environmental economics
      • Acquisition of a reading routine

        Schedule

        Type
        From
        To
        Weekday
        From
        To
        Room
        Material
        Lecture
        Lecture
        12.09.19
        05.12.19
        Thursday, every 14 days
        15:30
        17:00
        L7, 3-5, 410

        Lecturer(s)


        Course Type: elective course

        Course Number: E8010

        Credits: 5

        Course Content

        This seminar provides a forum for internal and external speakers to discuss their recent research in econometrics. Students working on either econometrics or an empirical project with a substantive econometric component are welcome to present. Please contact the instructor to set up a date.


        Schedule

        Type
        From
        To
        Weekday
        From
        To
        Room
        Material
        Seminar
        Seminar
        05.09.19
        05.12.19
        Thursday
        15:30
        17:00
        L7, 3-5, S031


        Course Type: elective course

        Course Number: E8012

        Credits: 5

        Prerequisites

        Formal: 2nd and higher year Ph.D. students from the Center for Doctoral Studies in Economics (CDSE).
        2nd year students from the Master of Economic Research.
         


          Course Content

          Course Content
          Students are expected to gain knowledge on the frontier of modern quantitative macroeconomic research on growth and business cycles.

          Requirements for the assignment of ECTS Credits and Grades

          • Presentation 80%
          • Discussion 20%

          Competences acquired

          Students are expected to gain knowledge on the frontier of modern quantitative macroeconomic research on growth and business cycles.


          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Lecture
          Lecture
          02.09.19
          14.10.19
          Monday
          13:45
          15:15
          L7, 3-5, P044
          Lecture
          02.09.19
          14.10.19
          Monday
          15:30
          17:00
          L7, 3-5, P044

          Lecturer(s)


          Course Type: elective course

          Course Number: E8017

          Credits: 7.5

          Prerequisites

          E700-703, E801-806


          Course Content

          Course Content

          This course covers both methods and applications in empirical macroeconomics. On the methodological side, we cover structural vector autoregressive (SVAR) models. The focus will be on various identification strategies (e.g., short-run/long-run restrictions, sign restrictions, external instruments), but also inference, factor models, nonlinear models. In addition, we discuss narrative approaches to identify structural shocks and univariate methods to study their propagation. The lectures and assignments introduce a range of applications. Those include the analysis of technology shocks, monetary policy shocks, and fiscal policy shocks.

           

          Teaching Method

          Lecture (2 SWS) and Exercise (1 SWS)

           

          Requirements for the Assignment of ECTS Credits and Grades

          A research paper and regular assignments.

           

          Literature

          Ramey (Handbook of Macroeconomics, 2016, Volume 2A, Chapter 2: Macroeconomic Shocks and Their Propagation)

          Kilian and Lütkepohl (Structural Vector Autoregressive Analysis, 2017; see www-personal.umich.edu/~lkilian/book.html)

          Lütkepohl (New Introduction to Multiple Time Series Analysis, 2005)


          Competences acquired

          The course introduces students to econometric methods and macroeconomic applications with a focus on business cycles.

           


          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Lecture
          Lecture
          02.09.19
          14.10.19
          Monday
          10:15
          11:45
          L7, 3-5, P043
          Lecture
          02.09.19
          14.10.19
          Monday
          17:15
          18:45
          L7, 3-5, P043
          Lecture
          21.10.19
          Monday
          10:15
          11:45
          L7, 3-5, P044
          Lecture
          21.10.19
          Monday
          17:15
          18:45
          L9,1-2, 003
          Lecture
          10.12.19
          Tuesday
          13:00
          16:00
          L7, 3-5, P044

          Lecturer(s)


          Course Type: elective course

          Course Number: E8019

          Credits: 9

          Prerequisites

          E601-603


          Course Content

          The digital economy led to many new services where supply is matched with demand for various types of goods and services. More and more people and organizations are now in a position to design market rules that are being implemented in software. The design of markets is challenging as it needs to consider strategic behavior of market participants, psychological factors, and computational problems in order to implement the objectives of a designer. The recent years have led to many new insights and principles for the design of markets, which are beyond traditional economic theory. This course introduces the fundamentals of market design, an engineering field concerned with the design of real-world markets.

          Syllabus

          A. Matching Algorithms

          1. Introduction

          2. The basic matching model

          3. The medical match

          4. Assignment markets

          5. School choice

          6. Course allocation

          7. Kidney exchange

           

          B. Auctions

          1.       Private Value Auctions

          2.       The Revenue Equivalence Principle

          3.       Risk-Averse Bidders

          4.       Budget Constraints

          5.       Asymmetry

          6.       Auctions with Interdependent Values

          7.       Mechanism Design

           

          Grading and ECTS credits

          Exam + Assignments


          Competences acquired

          After participating in the course, the participants understand methods and game-theoretical models of auctions as well as the fundamental problems in the design of matching markets. They are able to assess the properties of different auction formats and matching algorithms, and the results of theoretical and experimental analyses.


          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Lecture
          Lecture
          04.09.19
          04.12.19
          Wednesday
          13:45
          15:15
          L7, 3-5, P 044


          Course Type: elective course

          Course Number: E8028

          Credits: 5

          Prerequisites

          Advanced Microeconomics I - III

           

          Requirements for the assignment of ECTS-Credits and Grades: One homework (40%), one research paper about a set of articles (40%), and a presentation (60 minutes) of this paper (20%).


          Course Content

          The course teaches contract theory at the level of the research frontier. It reviews a number of classic topics in contract theory and puts them in an abstract general framework that makes it possible to understand the underlying common structure of these topics. All topics are from finance, but there are many links to other fields of economics. The course therefore also benefits doctoral students in finance and serves as a bridge between the two fields.
          The main topics are:
          1. Contracts and contingent markets, 2. Debt Contracts, 3. Hidden actions, 4. Incomplete contracts and renegotiation.
           


          Competences acquired

          Students are supposed to understand the deep structure of hidden information, hidden actions, and unverifiability problems and the common features shared by these problems. They are able to master the complex technical difficulties arising in the formulation and solution of such problems and can use the tools of contract theory in their own research.
          Students are able to read publications at the research frontier in information economics and contract theory in the fields of finance and related areas and to judge the conceptual value of the approaches taken in these papers. They can communicate their findings to other students and researchers by means of full academic presentation and in research-type articles. They can evaluate the relevance and correctness of technical arguments made in the literature and identify mistakes in publications. They are capable of assessing which arguments are novel and likely to generate intellectual progress, and which ones are just technical firework.


          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Lecture
          Lecture
          04.09.19
          11.09.19
          Wednesday
          10:30
          12:00
          L9,1-2, 002
          Lecture
          17.09.19
          04.12.19
          Wednesday
          10:30
          12:00
          L7,3-5, 410

          Lecturer(s)


          Course Type: elective course

          Course Number: E8029

          Credits: 5

          Course Content

          This course reviews the implications of relaxing the rational expectations assumption in dynamic
          macroeconomic models. It replaces the rational expectations hypothesis by the view that agents are
          learning and constantly trying to improve their forecasts about payoff‐relevant variables beyond
          their control. The course introduces the decision‐theoretic foundations of learning models, reviews
          the basic theoretical results about the asymptotic behavior of learning models, and presents
          applications of learning models for understanding business cycles and asset price behavior.

          The course illustrates how the introduction of learning into otherwise standard dynamic economic
          models generates additional propagation and can significantly enhance their empirical performance.
          The learning approach was initially used to assess the plausibility of rational expectations (RE)
          equilibria by studying whether or not learning convergence towards RE. Recently, more work focuses
          on empirical applications and on policy implications.


          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Lecture
          Lecture
          10.10.19
          Thursday
          13:45
          15:15
          L7, 3-5, S 031
          Lecture
          17.10.19
          Thursday
          13:45
          17:00
          L9, 1-2, 210
          Lecture
          24.10.19
          Thursday
          13:45
          17:00
          B6, 30-32, 211
          Lecture
          07.11.19
          Thursday
          13:45
          17:00
          B6, 30-32, 211
          Exam
          21.11.19
          Thursday
          13:45
          15:15
          B6, 30-32, 211

          Lecturer(s)


          Course Type: elective course

          Course Number: E8030

          Credits: 5

          Course Content

          The course is intended as a forum to discuss and critically examine current research in the field of Empirical Political Economy. More specifically, the papers discussed in this class deal with the effects of institutions (electoral system, timing of elections, etc.) on the incentives that policymakers have while in office and on the type of politicians that decide to run for office and that are selected into office. Methodologically, the emphasis is on research designs that allow for a causal interpretation and that analyze the effect of political and fiscal institutions on policy outcomes.

          Grading:        50% presentation + 50% referee report

           

          Relevant literature for referee reports

          www.andersonfrey.com/uploads/5/9/0/0/59009301/paper_may19.pdf

           

          Relevant literature for presentations

          • Besley, T., Folke, O., Persson, T., J. Rickne (2017). Gender Quotas and the Crisis of the Mediocre Man: Theory and Evidence from Sweden. 2017. American Economic Review 107(8): 2204-2242.
          • Cavalcanti, T., G. Daniele, S. Galletta (2018). Popularity shocks and political selection. Journal of Public Economics 165, 201-216.
          • Daniele, G. and B. Geys (2015). Organised Crime, Institutions and Political Quality: Empirical Evidence from Italian Municipalities. Economic Journal 125, F233-F255.
          • Folke, O., Persson, T., J. Rickne (2016). The Primary Effect: Preference Votes and Political Promotions. American Political Science Review 110(3): 559-578.
          • Hyytinen, A., J. Merilainen, T. Saarimaa, O. Toivanen, J. Tukiainen (2017). Public employees as politicians: evidence from close elections. American Political Science Review, forthcoming.
          • Repetto, L. (2018). Political Budget Cycles with Informed Voters: Evidence from Italy. Economic Journal 128, 3320-3353.

          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Seminar
          Kick-off meeting
          02.09.19
          Monday
          15:30
          17:00
          L7,3-5, 410
          Individuall presentations
          12.11.19
          Tuesday
          08:30
          18:30
          L9, 1-2, 409

          Lecturer(s)


          Course Type: elective course

          Course Number: E820

          Credits: 5

          Prerequisites

          E700 - E703, E801 - E806


          Requirement for the assignment of ECTS-Credits and Grades

          Presentations and seminar paper.


          Course Content

          This block seminar is intended to discuss topics around theoretical as well as applied research in the area of causal inference as well as randomized experiments and experimental design. Students are encouraged to review literature on a topic within this field, and explore if such research field may reflect or support their development of their own PhD project. Seminar topics normally refer to either Econometric Theory, i.e. identification or design development as well as estimators and their properties, or the applicability of methods that are linked to causal identification.

          Contact Person: Prof. Dr. Markus Frölich, froelich@uni-mannheim.de


          Schedule

          Type
          From
          To
          Weekday
          From
          To
          Room
          Material
          Lecture
          04.09.19
          04.12.19
          Wednesday
          12:00
          13:30
          L7,3-5, P 043

          Lecturer(s)


          Course Type: elective course

          Course Number: E823

          Credits: 9

          Prerequisites

          PhD program in economics: E700-E703 and E801-E806.

          Other programs: E700, E703, E803, and E806 or equivalent courses.


          Course Content

          The lecture will focus on multivariate time series models. After reviewing a few issues on (non)stationary univariate time series models discussed in Advanced Econometrics III, we will first deal with stable VAR models and their use for forecasting, Granger causality and impulse response analysis. To this end, we will also discuss important issues on asymptotic- and bootstrap-based inference. Afterwards, we discuss stable VARMA processes and infinite-order VARs. Finally, we consider integrated multivariate processes, i.e. will we deal with unit root econometrics as well as cointegration, including VEC modelling. The course both addresses asymptotic analyses as well as implementation issues. Accordingly, tutorial sessions are also devoted to coding and empirical problems besides addressing theoretical problems. In the last part of the course, participants introduce or discuss in more details (further) model classes by giving presentations and writing a paper. We may cover e.g. Bayesian VARs, structural VARs, factor-augmented VARs, VARMA models, etc.. This course is complementary to the course Structural Vector Autoregessive Analysis offered by Matthias Meier. While the latter course focus on structural modelling approaches from an applied macro perspective, we take an econometric approach and deal with multivariate I(1) approaches, VECM and VARMA models in more detail.

          Grading and assignment of ECTS-credits

          Paper (40 %), presentation (30 %), assignments (30 %)

          Literature

          • Hamilton, J.D. (1994), Time Series Analysis, Princeton University Press
          • Hayashi, F. (2000), Econometrics, Princeton University Pres
          • Lütkepohl (2017), Structural Vector Autoregressive Analysis, CUP
          • Lütkepohl, H. (2005), New Introduction to Multiple Time Series Analysis, Springer
          • Lütkepohl, H. and Krätzig, M. (2004), Applied Time Series Econometrics, CUP
          • Davidson R. and MacKinnon, J.G. (2004) Econometric Theory and Methods, Oxford University Press
          • White, H. (2000), Asymptotic Theory for Econometricians, Academic Press


              Competences acquired

              The students have acquired the necessary demanding econometric, statistical and mathematical techniques to understand and solve theoretical problems in uni-variate and multiple, time series analysis, i.e. in special fields of Econometrics. They are able to understand methodologically demanding specialist literature and, based on that, can extend their methodological knowledge independently. They are able to sort out relevant literature for problem solving, i.e. they can analyze and synthesise the special literature. The students have acquired basic tools for empirical time series analysis and can understand empirical time series literature. Based on their methodological expertise, they are able to independently extend their knowledge in order to conduct own empirical analyses. The students can formulate research questions, are able to analyze and address them, and and can present, discuss, and defend research results in written and oral form.


              Schedule

              Type
              From
              To
              Weekday
              From
              To
              Room
              Material
              Lecture
              Lecture
              02.09.19
              02.12.19
              Monday
              15:30
              17:00
              L7, 3-5, P043
              Lecture
              05.09.19
              05.09.19
              Thursday
              10:15
              11:45
              L7, 3-5, P043


              Course Type: elective course

              Course Number: E839

              Credits: 5

              Prerequisites

              First and second year PhD courses.

              Requirements for the assignment: Presenting of Research Projects


              Course Content

              Research seminar where Ph.D. students, who have completed their course work, present their own research and receive feedback. Occasionally we will also have an outside speaker.


              Schedule

              Type
              From
              To
              Weekday
              From
              To
              Room
              Material
              Lecture
              05.09.19
              05.12.19
              Thursday
              12:00
              13:30
              L7, 3-5, P044

              Lecturer(s)


              Course Type: elective course

              Course Number: E841

              Credits: 7,5

              Prerequisites

              All first-year PhD courses


              Course Content

              Goals and Contents of the module: PhD-level course of the modern theory of industrial organization. Topics include monopoly pricing, static and dynamic oligopoly, collusion, mergers, industry dynamics, vertical relations.

              Requirements for the Assignment of ECTS Credits and Grades

              Written exam (100 %)


              Competences acquired

              Acquisition of a deep understanding of the key topics, seminal models, and frontiers of research in theoretical industrial organization.


              Schedule

              Type
              From
              To
              Weekday
              From
              To
              Room
              Material
              Lecture
              03.09.19
              03.12.19
              Tuesday
              10:15
              13:30
              L7, 3-5, P043

              Lecturer(s)


              Course Type: elective course

              Course Number: E846

              Credits: 5

              Prerequisites

              E700-E703, E801-E806

              Requirements for the Assignment of ECTS Credits and Grades

              Presentation (100 %).


              Course Content

              This seminar is aimed at PhD students writing their dissertation in Industrial Organization. It is intended to guide students at all stages of dissertation research. The emphasis be on presentation and discussion of material by students.


              Competences acquired

              Doctoral Students will know how to

              • identify a research question,
              • put a research question into context of the relevant literature,
              • present their current stage of research to their peers in a seminar environment.

              Schedule

              Type
              From
              To
              Weekday
              From
              To
              Room
              Material
              Lecture
              04.09.19
              04.12.19
              Wednesday
              12:00
              13:30
              L7, 3-5, P044

              Lecturer(s)


              Course Type: elective course

              Course Number: E854

              Credits: 5

              Prerequisites

              First-year sequence in the Economics PhD program


              Course Content

              Students will read, present and discuss current research concerning the optimal design of mechanisms.

              Grading and assignment of ECTS-credits: Presentations


              Competences acquired

              On successful completion of the module, students are expected to attain the following competences:

              • Presentation skills
              • Participation in scientific discourse
              • Absorption of recent research in mechanism design
              • Acquisition of a reading routine

                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Lecture
                05.09.19
                24.10.19
                Thursday
                12:00
                13:30
                L7, 3-5, P043
                06.11.19
                Wednesday
                10:15
                11:45
                L9,1-2, 002
                07.11.19
                05.12.19
                Thursday
                12:00
                13:30
                L7, 3-5, P043


                Course Type: elective course

                Course Number: E866

                Credits: 5

                Prerequisites

                E700-E703, E801-E806

                 


                Course Content

                Students present and discuss policy related economic research.

                 

                Requirements for the assignment of ECTS-Credits and Grades

                At least one presentation. Students who wish to obtain ECTS credits should sign up for the course, students who do not wish to obtain credits should not sign up for the course.


                Competences acquired

                Students learn to apply economic theory and quantitative methods to policy problems.

                 

                Further information: Students who would like to participate should contact Hans Grüner before the beginning of the semester
                Contact Information: Prof. Dr. Grüner, Phone: (0621) 181-1886, email: gruener@uni-mannheim.de, Office: L7, 3-5, room 2-06


                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Seminar
                02.09.19
                03.12.19
                Monday
                17:20
                18:50
                L7, 3-5, P 044


                Course Type: elective course

                Course Number: E873

                Credits: 5

                Prerequisites

                E700-E703, E801-E806


                Course Content

                Goals and Contents of the module:
                Presentation and discussion of current research in public economics (external and internal speakers)

                Requirements for the assignment of ECTS-Credits and Grades: Oral presentation of own reserach, contribution to discussion of other perticipants' reserach; only pass/ fail.

                 


                Competences acquired

                Improve presentations skills, obtain feedback to improve research paper.


                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Seminar
                03.09.19
                03.12.19
                Tuesday
                12:00
                13:30
                L9, 1-2, 003

                Lecturer(s)


                Course Type: elective course

                Course Number: E877

                Credits: 4

                Prerequisites

                First year courses


                Course Content

                The course introduces the recent literature on behavioural game theory and learning:

                Information Cascades

                Quantal- response equilibrium

                Level- k theories

                Fictious Play

                Reinforcement Learning

                Experience weighted attraction learning

                Imitation

                 

                Grading and assignment of ECTS credits

                Written exam (90 min)

                 

                Literature
                Fudenberg, D. and D. Levine (1998) "The Theory of Learning in Games", Cambridge, Mass.: MIT- Press

                Colin Camerer (2003) "Behavioral Game Theory: Experiments in Strategic Interaction", Princeton University Press

                 


                Competences acquired

                Expected competences acquired after completion of the module: Students should be able to read and understand the literature on learning in games. They should acquire several necessary theoretical and experimental tools that can be a starting point for independent Ph.D.


                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Lecture
                15.10.19
                03.12.19
                Tuesday
                13:45
                15:15
                L9, 1-2, 002

                Lecturer(s)


                Course Type: elective course

                Course Number: E878

                Credits: 5

                Prerequisites

                E700- E703, E801- E806


                Course Content

                In this seminar participants present and discuss their current research as well as ideas for future research. An important goal of the seminar is to provide a forum for students working on projects that use experimental methods or relate to themes in behavioral economics.

                 

                Grading and assignment of ECTS credits

                Presentation and active participation

                 

                Further information

                If you are interested in the seminar, please contact Henrik Orzen.


                Competences acquired

                Designing laboratory or field experiments; Executing research projects; Presenting own research results.


                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Seminar
                04.09.19
                04.12.19
                Wednesday
                10:15
                11:45
                L7, 3-5, P044


                Course Type: elective course

                Course Number: E883

                Credits: 10

                Prerequisites

                E700-E703, E801-E806


                Course Content

                This module intends to introduce PhD students to current topics in Experimental  and Behavioral Economics and to familiarize them with recent advances in the field. The course will be delivered via a mix of lectures, joint readings of papers, in-class discussions and project work. The lectures will provide introductions to various topics and give relevant background information. Selected papers from the recent relevant literature will be discussed in depth. For this to work all participants will have to read specific papers in advance of individual meetings. Over the course of the semester each student is expected to lead the in-class discussion of two of the papers. The module will also provide a forum for students to discuss research ideas and preliminary work. In fact, students are expected to develop a research project of their own and present their advances, experimental design or data. This can be done individually or in pairs.

                 

                Grading and assignment of ECTS credits

                This course employs a pass/fail policy. Criteria for assessment: Develop own research project (individually or in pairs). Active participation and engagement in the discussion.


                Competences acquired

                Advanced understanding of experimental methods; Acquiring knowledge about currently discussed research questions in the experimental literature; Developing a research agenda.


                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Lecture
                05.09.19
                05.12.19
                Thursday
                15:30
                17:00
                L7, 3-5, P043
                05.09.19
                05.12.19
                Thursday
                17:15
                18:45
                L7, 3-5, P043

                Lecturer(s)


                Course Type: elective course

                Course Number: E891

                Credits: 5

                Prerequisites

                This course is targeted to second-year Ph.D. students in economics. Students are expected to have completed first-year micro and macro theory courses.


                Course Content

                This course is an introduction to international trade at the Ph.D. level. The first part of the course will have a lecture structure and we will discuss the core models of modern international trade theory. We will study neoclassical trade models, i.e., the Ricardian- and Heckscher-Ohlin models  and then move to trade models with imperfect competition. Particular emphasis will be given to models with firm-level heterogeneity. We will also cover the role of multinational firms and the effects of offshoring.
                The second part of the course will be organized as a seminar: depending on the number of participants, either students will present papers at the research frontier or there will be a reading group format. Topics covered depend on the students’ interest.

                 

                Requirements for the assignment of ECTS-Credits and Grades

                Class room participation, problem sets, oral presentation.


                Competences acquired

                Students will be familiar with the core models and methods used in modern research in international trade. They will know the research frontier in this field and will be able to start independent research projects that may lead to a dissertation in international trade.


                Schedule

                Type
                From
                To
                Weekday
                From
                To
                Room
                Material
                Lecture
                03.09.19
                19.11.19
                Tuesday
                10:15
                11:45
                L7, 3-5, 410
                26.11.19
                Tuesday
                10:15
                11:45
                SO 133 (Schloss Schneckenhof Ost)
                03.12.19
                Tuesday
                10:15
                11:45
                L7, 3-5, 410