Spring 2019

  • Economics

    Core Courses
    ECTS
    Course Type: core course
    E801: Advanced Microeconomics II
    5 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E801
    Credits: 5
    Prerequisites

    E700, E701, E702, E703

    Requirements for the assignment of ECTS-Credits and Grades

    • Final examination (120 min)

    Literature

    • Stokey, Lucas (with Prescott) (1989), “Recursive Methods in Economic Dynamics,” Harvard University Press.
    • Fudenberg and Tirole (1991), “Game Theory,” MIT Press.
    • Mailath and Samuelson (2006), “Repeated Games and Reputations,” Oxford University Press
    Course Content

    First part (Tarantino):

    This part of the course is devoted to the study of dynamic games. The following topics will be covered:

    • Discrete-time models:
      • Discrete-time infinite-horizon maximization problems.
      • Bargaining games and the Coase conjecture.
      • Learning and experimentation.
    • Continuous-time models:
      • Continuous-time infinite-horizon maximization problems.
      • Strategies in continuous time.
    • Bargaining games and Coasian dynamics.
    • Strategic experimentation.

    Second part (Schutz):

    This part of the course provides an introduction to the theory of repeated games. The following topics will be covered:

    • Infinitely repeated games with perfect monitoring.
    • Infinitely repeated games with imperfect public monitoring.
    • Extensions: Finitely repeated games, stochastic games, etc.

    Third part (Orzen):

    This part of the course covers selected topics in behavioral and experimental economics:

    • Individual decision making under risk.
    • Social preferences.
    • Methodology.
    Competences acquired

    First part (Tarantino): The goal in this part is to allow students to acquire two distinct sets of competences. First, they will acquire the mathematical skills related to dynamic optimization techniques in discrete and continuous time, and their application to economic models. Second, they will read on the recent developments in the economics literatures on dynamic bargaining models (with one-sided private information), strategic experimentation and dynamic contracting. The ultimate objective is to bring them to the frontier of research in this area.

    Second part (Schutz): The students will know and understand the basic building blocks of the theory of repeated games. They will be able to apply that theory to their own research and to read recent developments in the field.

    Third part (Orzen): Students will be able to describe important approaches and models in the field of behavioral economics, and they will be able to apply some of these concepts to new situations of economic relevance. Furthermore, they will be able to reconsider some canonical models from a behavioral perspective, will know a number of important experimental results, and will be aware of important methodological debates in the field of economics.

    Schedule
    Lecture
    01.04.19 - 27.05.19 Monday 10:15 - 11:45 L7, 3-5, P044
    01.04.19 - 27.05.19 Monday 12:00 - 13:30 L7, 3-5, P044
    Written Exam 06.06.19 Thursday 10:30 - 12:30 Schloss Ostflügel, O 226/28
    Tutorial
    27.03.19 - 29.05.19 Wednesday 15:30 - 17:00 L7, 3-5, P044
    E802: Advanced Macroeconomics II
    5 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E802
    Credits: 5
    Prerequisites

    E700, E701, E702, E703

    Requirements for the assignment of ECTS-Credits and Grades

    • Final examination
    • Solutions to problem sets
    • Participation in exercise sessions
    Course Content

    This course covers basic methods useful for dynamic economic modeling under rational expectations:

    1. Linear Rational Expectations (RE) Models: linearizing economic models and solving linear RE models: determinacy, indeterminacy, and 'sunspot' equilibria.
    2. Linear RE models and Vector Auto-Regressions (VARs): state space representation of economic models, VAR representation of observables, invertibility problems, identification of economic shocks.
    3. Linear Quadratic (LQ) Dynamic Programming: solving LQ problems: Ricatti equation, invariant subspace methods, stochastic problems and certainty equivalence.
    4. Introduction to the New Keynesian Model and its Linearized Form.
    Competences acquired

    After the course students will be able to apply and understand the basic tools used in business cycle analysis and will be able to follow the recent literature on dynamic stochastic general equilibrium models. They also learn how these techniques could be applied in other fields concerned with dynamic decision making.

    Teaching Assistant

    Lukas Henkel (CDSE)

    Schedule
    Lecture
    13.02.19 - 27.03.19 Wednesday 10:15 - 11:45 L7, 3-5, P044
    13.02.19 - 27.03.19 Wednesday 13:45 - 15:15 L7, 3-5, P044
    Written Exam 29.03.19 - 29.03.19 Friday 10:15 - 12:15 Schloss Ostflügel, O 226/28
    Tutorial
    12.02.19 - 26.03.19 Tuesday 17:15 - 18:45 B6, 30-32, 209
    E803: Advanced Econometrics II
    5 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E803
    Credits: 5
    Prerequisites

    E700, E701, E702, E703, E801, E802, E803

    Requirements for the assignment of ECTS Credits and Grades

    • Written Exam (120 minutes) 75%
    • Assignments 25%
    Course Content

    The course provides an introduction to semi- and nonparametric estimation methods in microeconometrics, as well as to bootstrap theory and treatment effect evaluation.

    Literature/recommended textbooks

    Cameron, A.C. and Trivedi, P.K. (2005), Microeconometrics: Methods and Applications, Cambridge University Press

    Wooldridge, J.M. (2010), Econometric Analysis of Cross Section and Panel Data, Cambridge University Press

    Hansen, B.E.  (2017), Econometrics, Lecture Notes.

    Heckman, J. and Vytlacil, E. (2007), Econometric Evaluation of Social Programs, Handbook of Econometrics Vol. 6B, Chs. 70-71.

    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 at a high technical and mathematical level.
    • 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.

    • 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.

    Schedule
    Lecture
    12.02.19 - 19.03.19 Tuesday 10:15 - 11:45 B6, 30-32, 309
    12.02.19 - 19.03.19 Tuesday 12:00 - 13:30 B6, 30-32, 309
    Written Exam 25.03.19 - 25.03.19 Monday 13:45 - 15:45 L9, 1-2, 001
    Tutorial
    15.02.19 - 22.03.19 Friday 10:15 - 11:45 B6, 30-32, 212
    E804: Advanced Microeconomics III
    5 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E804
    Credits: 5
    Prerequisites

    E700, E701, E702, E703, E801, E802, E803

    Course Content

    The goal is to provide an introduction to the role of private information and its strategic use in various environments including markets, contracts, negotiations, regulation, communication, political processes, and expert advice.

    Summary of Contents:
        I. Adverse Selection.
        II. Signaling.
        III. Screening.
        IV. Moral Hazard.
        V. Mechanism design.

    Requirements for the assignment of ECTS-Credits and Grades: Written Exam

     

    Teaching assistant

    Daniil Larionov (CDSE)

    Competences acquired

    Successful participants’ understanding of the role of private information in strategic environments is at the forefront of current research. They are ready to begin developing their own research questions in this field of study, can synthesize their knowledge with the study of economic problems in other fields, and are able to find solutions to practical problems concerning beneficial regulatory interventions in various contexts of market failure. Crucially, successful participants understand the fundamental tension between private information and achieving social goals. This understanding enlightens their judgment of conflict and cooperation in a wide range of social situations beyond the narrow context of economics.

    Schedule
    Lecture
    11.02.19 - 18.03.19 Monday 10:15 - 11:45 L7, 3-5, P043
    12.02.19 - 19.03.19 Tuesday 15:30 - 17:00 L9, 1-2, 002
    Written Exam 05.04.19 - 05.04.19 Friday 10:15 - 12:15 B6, 30-32, 211
    Tutorial
    14.02.19 - 21.03.19 Thursday 10:15 - 11:45 B6, 30-32, 212
    E805: Advanced Macroeconomics III
    5 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E805
    Credits: 5
    Prerequisites

    E700, E701, E702, E703, E801, E802, E803

    Requirements for the assignment of ECTS Credits and Grades

    There will be problem sets and one final exam. The course grade is based on your performance in the problem sets (20%) and the final (80%).

    Literature/recommended textbooks

    Lars Ljunqvist and Thomas J. Sargent, 2012, Recursive Macroeconomic Theory, MIT Press.

    Nancy Stokey and Robert E. Lucas (with Edward C. Prescott), 1989, Recursive Methods in Economic Dynamics, Harvard University Press.

    Course Content

    This course develops the basic tools of modern macroeconomics and discusses various applications. In particular, this course covers in depth the theory and computational implementation of dynamic programming. The topics of this course are:

    • Consumption and savings
    • Investment
    • Labor markets
    • Recursive contracts

    Teaching assistant

    Carl Christian Groh (CDSE)

    Competences acquired

    Students acquire a deeper understanding of the mathematical methods used in modern macroeconomics. In particular, they learn about the scope and limitation of each mathematical method. The discussion of various applications in class and during TA sessions prepares students for conducting independent research on their Ph.D. (or Master) thesis. Though this course is mainly about macroeconomics, students are also able to apply the mathematical techniques (i.e. dynamic programming) to problems in other fields of economics. The generality of the mathematical/theoretical framework allows students to connect seemingly unrelated problems and issues. Students not only formulate and solve advanced scientific problems, but also learn how to communicate their results effectively.

    Schedule
    Lecture
    02.04.19 - 28.05.19 Tuesday 10:15 - 11:45 L9, 1-2, 003
    02.04.19 - 28.05.19 Tuesday 13:45 - 15:15 L9, 1-2, 002
    Written Exam 07.06.19 - 07.06.19 Friday 10:15 - 12:15 Schloss Ostflügel, O 226/28
    Tutorial
    02.04.19 - 28.05.19 Tuesday 08:30 - 10:00 B6, 30-32, 212
    E806: Advanced Econometrics III
    5 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E806
    Credits: 5
    Prerequisites

    E700, E701, E702, E703, E801, E802, E803

    Requirements for the assignment of ECTS Credits and Grades

    • Written Exam (120 minutes) 75%
    • Assignments 25%

    Literature/recommended textbooks

    Cameron, A.C. and Trivedi, P.K. (2005), Microeconometrics: Methods and Applications, Cambridge University Press

    Hamilton, J. D. (1994), Time Series Analysis, Princeton University Press.

    Hayashi, F. (2000), Econometrics, Princeton University Press

    Wooldridge, J.M. (2010), Econometric Analysis of Cross Section and Panel Data, Cambridge University Press


    Course Content

    Part I is devoted to basic analysis of panel data (models) and Part II deals with time series analysis. The second part is somewhat more detailed and deals with stationary and nonstationary time series set-ups.

    (no exercise)

    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 at a high technical and mathematical level.
    • 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.
    • 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.

    Schedule
    Lecture
    01.04.19 - 27.05.19 Monday 15:30 - 17:00 L9, 1-2, 002
    01.04.19 - 27.05.19 Monday 13:45 - 15:15 L9, 1-2, 002
    04.04.19 - 30.05.19 Thursday 10:15 - 11:45 L9, 1-2, 003
    Written Exam 11.06.19 - 11.06.19 Tuesday 10:15 - 12:15 L9, 1-2, 003
    Elective Courses
    ECTS
    Course Type: elective course
    COLLOQUIUM: Pathways to Decarbonization
    1 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: COLLOQUIUM
    Credits: 1
    Course Content

    Identify strategies for reducing CO2 emissions. Examine technological developments, business models and public policy.

    The colloquium is open to doctoral students at the University of Mannheim, the ZEW, post docs, and researchers in the field of sustainable energy and decarbonization. Target Audience: researchers in economics and business.

    Learning outcomes: Identify the state-of-the art in current work on carbon reduction strategies.

    Form of assessment: class participation


    Registration: Instructor’s permission to enroll. Please contact Prof. Reichelstein: reichelstein(at)uni-mannheim.de

    Schedule
    Lecture
    Kick-off 05.03.19 Tuesday 18:00 - 19:00 O 254
    E800: CDSE Seminar
    12 ECTS
    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
    Seminar
    12.02.19 - 28.05.19 Tuesday 15:30 - 17:00 L7, 3-5, P044
    E8004: Reading Course in Environmental Economics (3rd & 4th Year)
    2.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8004
    Credits: 2.5
    Prerequisites

    First-year sequence in the Economics PhD program.

    Requirements for the assignment of ECTS-Credits and Grades

    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
    Lecture
    Fortnightly 18.02.19 - 27.05.19 Monday 13:45 - 15:15 L7, 3-5, 410
    E8010: Econometrics Research Seminar (3rd & 4th Year)
    5 ECTS
    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
    Lecture
    14.02.19 - 30.05.19 Thursday 15:30 - 17:00 L7, 3-5, S031
    E8012: Reading Course in Macroeconomic Policy
    5 ECTS
    Lecturer(s)
    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

    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 10%
    • Class Participation 10%
    Schedule
    Lecture
    21.02.19 - 30.05.19 Thursday 13:45 - 15:15 L7, 3-5, P044
    E8013: Search Theory and Labor Markets (2nd Year)
    10 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8013
    Credits: 10
    Prerequisites

    Successful completion of the first year sequence.

     

    Requirements for the assignment of ECTS Credits and Grades

    Take home exam/homeworks and student presentations

     

    Literature/recommended textbooks

    Ljungqvist and Sargent. Recursive Macroeconomic Theory, third edition, 2012

    Christopher A Pissarides. Equilibrium unemployment theory. MIT press, 1990

    Course Content

    Upon successful complete, students will be familiar with the cutting edge search models commonly used in a variety of economic fields ranging from labor economics, monetary econ, finance and family econ amongst many others. Students will be familiar with papers at the research frontier and potential avenues for future research.

    Schedule
    Lecture
    14.02.19 - 30.05.19 Thursday 15:30 - 17:00 L9, 1-2, 409
    14.02.19 - 30.05.19 Thursday 17:15 - 18:45 L9, 1-2, 409
    E8014: Quantitative Macroeconomics with Heterogenous Households (2nd Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8014
    Credits: 5
    Prerequisites

    E700, E701, E702, E703, E801, E802, E803, E805; some familiarity with a programming language of your choosing (e.g. Python, Fortran, Julia, C, MATLAB)

    Course Content

    This course will discuss how the household heterogeneity affects the economy and how the macroeconomic policy and existing market frictions underlie the level of inequality. To this end it will introduce the standard incomplete-markets model, an arguable workhorse of modern macroeconomics, in which households face uninsurable income risk and use risk-free assets to smooth the marginal utility of their consumption. This will be extended to: (1) models with overlapping generations and a life-cycle component and (2) two-asset models. Then we will review some policy-related applications with emphasis put on distributional consequences: fiscal stimulus payments, capital income taxation, and social security. Next recent empirical findings on consumption responses during the Great Recession will be juxtaposed with predictions of the model. If time permits, we will recast the standard framework in continuous time to achieve greater computational performance than traditional discrete-time methods.

    Examination

    Problem sets and term project

    Schedule
    Lecture
    13.02.19 - 27.03.19 Wednesday 12:00 - 13:30 L7, 3-5, 410
    13.02.19 - 27.03.19 Wednesday 13:45 - 15:15 L7, 3-5, 410
    E8015: Learning Theories
    7 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8015
    Credits: 7
    Prerequisites

    core courses

    Course Content

    The first half of this course will consist of a combination of lectures and tutorials. In the second half, students will conduct their own research, write a thesis and present their results to the audience. In the lecture, we will discuss problems of the Nash equilibrium concept and possible alternatives. The main part of the lecture will be devoted to presenting and comparing popular learning theories. More specifically, we will cover Fictitious play, Reinforcement Learning, Experienced weighted attraction learning, and Imitation. In the tutorials, students will learn to use simple programming tools to simulate the learning theories in the lecture.

    Competences acquired

    Knowledge of common learning theories. The ability to use said learning theories to predict behavior in repeated games. The ability to simulate and test said learning theories. Students will learn to find their own research topic, conduct some independent research and write an academic essay, as well as presenting own research in an accessible manner to other students.

    Schedule
    Lecture
    13.02.19 - 29.05.19 Wednesday 15:30 - 17:00 L9, 1-2, 002
    Tutorial
    13.02.19 - 29.05.19 Wednesday 17:15 - 18:00 L9, 1-2, 002
    E8022: Industrial Organization Empirics
    7 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8022
    Credits: 7
    Course Content

    The course examines the organization of firms, industries and markets. Industrial Organization studies the strategic interactions of firms in markets, and their implications for firms’ profits and consumer welfare. Market power and market structure are key concepts in IO. Market power (or monopoly power) is the ability of a firm, or group of firms, to gain extraordinary profits above those needed to remunerate the inputs. Market structure is a description of the number of firms in the market and of their respective market shares. The course has the goal to develop an active understanding of econometric analysis of market power and competition. Such goal is illustrated with applications to competition policy and competitive strategy. We will study empirically the determinants of firms’ and consumers’ behavior and market outcomes in the context of problems of price competition, investment, innovation, product design, mergers, or market entry-exit. Topics will cover: econometric issues and methods in the estimation of production functions, demand estimation, static models of Cournot and Bertrand competition, empirical models of entry and some general ideas of dynamic structural models.

    Requirements for the assignment of ECTS-Credits and Grades

    • Assignments: 4 (75%)
    • Presentation (20%)
    • Class participation (5%)
    Competences acquired

    Upon completion of this course, students will be able to develop and actively understand econometric analysis of market power and competition. They will be able to combine data, economic models, and appropriate econometric techniques to answer empirical questions in Industrial Organization.

    Schedule
    Lecture
    15.02.19 - 31.05.19 Friday 13:45 - 15:15 L7, 3-5, P044
    Tutorial
    Fortnightly 18.02.19 - 27.05.19 Monday 15:30 - 17:00 L9, 1-2, 003
    E8024: Political Economy and Public Policy
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8024
    Credits: 5
    Prerequisites

    Requirements for the assignment of ECTS-Credits and Grades

    • Presentation (50%)
    • Referee report (50%)
    Course Content

    The course is intended as a forum to discuss and critically examine current research in the area of Empirical Political Economy. The emphasis is on literature that relies on methods and research designs that allow for a causal interpretation and that analyze the effect of political and fiscal institutions on policy outcomes. The relevant literature focuses on the following topics: electoral rules, fiscal and political institutions, selection of politicians, electoral incentives, electoral cycles in policymaking, political alignment, political economy considerations in the allocation of intergovernmental grants and so on.

    Schedule
    Lecture
    first session 12.02.19 Tuesday 10:15 - 11:45 L7, 3-5, 410
    block course 21.05.19 - 21.05.19 Tuesday 08:30 - 18:45 L7, 3-5, 410
    E8025: Doctorate Thesis Advising Seminar
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8025
    Credits: 5
    E820: Experimental Econometrics and RCTs in Development Economics (2nd Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E820
    Credits: 5
    Prerequisites

    E700-E703, E801-E806.

    Very successful mastery of the econometrics courses.

    Requirement for the assignment of ECTS-Credits and Grades

    Presentations and seminar paper.

    Course Content

    The seminar (formerly Theoretical Microeconometrics) prepares for own research in theoretical econometrics. This seminar covers recent developments in microeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues. Preference will be given to articles in Econometrica, recently published or forthcoming.

    Competences acquired

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

    • Attain advanced knowledge in econometric theory.
    • Attain a higher/advanced level of analytical capability.
    • 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.
    • Ability to communicate precisely in the English specialist language.
    • Presentation skills.
    • Attain the level of competence that permits independent undertakings in search of new knowledge in microeconometric theory.
    Schedule
    Lecture
    13.02.19 - 29.05.19 Wednesday 12:00 - 13:30 L9, 7, 308
    E839: Topics in Macroeconomics (3rd & 4th Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E839
    Credits: 5
    Prerequisites

    First and second year PhD courses.

    Course Content

    The seminar discusses recent research projects in the field of macroeconomics on a weekly basis. In addition to Ph.D. students and professors from the University of Mannheim, scholars from other universities and institutions present their work.

    Schedule
    Lecture
    14.02.19 - 30.05.19 Thursday 12:00 - 13:30 L9, 1-2, 003
    E866: Research Seminar in Economic Policy (3rd & 4th Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E866
    Credits: 5
    Prerequisites

    E700-E703, E801-E806.

    Requirements for the assignment of ECTS-Credits and Grades

    Students get the credits for this course if they present at least once during the semester and participate in the discussion of the other seminar presentations.

    Further information

    Students who would like to participate should contact Hans Peter Grüner before the beginning of the semester.

    Tel. 181-1886

    Email: gruener@uni-mannheim.de

    L7, 3-5, room 2-06

    Course Content

    Students present and discuss policy related economic research.

    Competences acquired

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

    Schedule
    Lecture
    11.02.19 - 27.05.19 Monday 17:15 - 18:45 L7, 3-5, P044
    E873: Research Seminar in Public Economics (3rd & 4th Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E873
    Credits: 5
    Prerequisites

    E700-E703, E801-E806

    Course Content

    Students get the credits for this course if they give a presentation at least once during the semester and participate in the discussion of the other seminar presentation.

    Competences acquired

    Develop own research agenda, execution of research projects, presentation of own research results.

    Schedule
    Lecture
    12.02.19 - 28.05.19 Tuesday 12:00 - 13:30 ZEW, L7 1, room "Straßburg"
    26.02.19 - 26.02.19 Tuesday 12:00 - 13:30 ZEW, L7 1, room 1
    26.03.19 - 26.03.19 Tuesday 12:00 - 13:30 ZEW, L7 1, room 1
    28.05.19 - 28.05.19 Tuesday 12:00 - 13:30 ZEW, L7 1, room 1
    E878: Advanced PhD Seminar in Experimental Economics (3rd & 4th Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E878
    Credits: 5
    Prerequisites

    E700- E703, E801- E806

    Requirements for the Assignment of ECTS Credits and Grades

    Presentation and active participation

    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.

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

    Competences acquired
    • Designing laboratory or field experiments
    • Executing research projects
    • Presenting own research results
    Schedule
    Lecture
    13.02.19 - 29.05.19 Wednesday 10:15 - 11:45 tba
    E889: Topics in International Taxation and Fiscal Competition (2nd Year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E889
    Credits: 5
    Prerequisites

    E700-E703, E801-E806 or equivalent (please consult with instructors if in doubt)

    Requirements for the assignment of ECTS-Credits and Grades

    Presentation and referee report.

    Course Content

    The course is intended to provide insights into current research in the area of public economics, with a focus on environments where countries/regions are linked by spillovers from tax/fiscal policies. This includes the following topics: taxation of interregionally mobile production factors, international migration of high skilled labor, cross border shopping, the role of taxation for location decision of firms, tax and fiscal competition, profit shifting and policy coordination to prevent it. The course is split into two halves, roughly but not entirely along the lines of theory and empirics.

    Competences acquired

    Ability to understand current academic research at the frontier; critical evaluation of literature; first steps towards formulating own research questions; improvement of research writing and presentation skills.

    Schedule
    Lecture
    12.02.19 - 28.05.19 Tuesday 13:45 - 15:15 L7, 3-5, P044
    RES: Interdisciplinary Work in Economics and Social Sciences (Bridge Course)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: RES
    Credits: 5
    Prerequisites

    This is a Restricted Course for students who are currently doctoral students at the GESS of the University of Mannheim. It is intended for beginning as well as advanced doctoral students. This course is an elective course and counts as a 'Bridge Course'.

    Course Content

    This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it, actively participate in discussions with students from different centers with matching research interests and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers to discuss core topics of societal relevance. Within these panels, the students should talk about how their own field might contribute to the discussion of a specific topic and ideally come up with some joint interdisciplinary research ideas.

    During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

     

     Assessment:

    • Presentation, discussion (including a three-page referee report), and participation in discussion panel at GESS Research Day. An extended abstract and the set of slides that will be used for the presentation or (preferably) a working paper draft needs to be provided by each presenting student to the assigned discussant two weeks before the research day.
    • Three pages individual reflection of the Research Day. Exemplary questions you can discuss in this document include (a) what you learned for your own project based during the day, (b) what new/unexpected topics you discovered, and (c) where you see potential collaborations or new research ideas. You can include answers to one or some of these or other questions in your reflection.
    • Participation at Science Speed Dating event.
    • Five pages interdisciplinary research proposal (group of two students) and presentation of this proposal
    • Detailed rules and schedules will follow.
    • Only pass/fail

    Please register by latest February 15th,2019, by sending a title and an abstract of the research project/topic you would like to present to registration@gess.uni-mannheim.de. Please indicate in your e-mail your fields of interest and if you have any, mention up to three broad other fields (e.g. Marketing, Macroeconomics, Social Psychology) you would like to collaborate with.

    Please note that the course is limited to a maximum of 24 participants, and seats will be allocated on a first come first served basis (conditional on fulfilling the course prerequisites).

    Course dates:

    -          Research Day: March 26th, 2019 (whole day symposium)

    -          Speed Dating: May 7th, 2019

    -          Presentation of research proposal: tbd, around one month after Speed Dating event

    Competences acquired
    • Present own research in front of a general audience
    • Discuss work from another field
    • Develop and present own interdisciplinary research ideas