Fall 2022

  • Economics

    E700: Mathematics for Economists (1st year)
    6 ECTS
    Lecturer(s)
    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)

     

    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

    Dam Thi Anh and So Jin Lee

    Schedule
    Lecture
    Lecture 05.09.22 - 26.09.22 Monday 10:15 - 11:45 tba
    Lecture 06.09.22 - 27.09.22 Tuesday 10:15 - 11:45 tba
    Lecture 07.09.22 - 28.09.22 Wednesday 10:15 - 11:45 tba
    Lecture 08.09.22 - 29.09.22 Thursday 10:15 - 11:45 tba
    Exam 06.10.22 Thursday 08:00 - 10:00 tba
    Tutorial
    Group 1 05.09.22 - 26.09.22 Monday 13:45 - 15:15 tba
    Group 2 05.09.22 - 26.09.22 Monday 13:45 - 15:15 tba
    Group 3 05.09.22 - 26.09.22 Monday 15:30 - 17:00 tba
    Group 4 05.09.22 - 26.09.22 Monday 15:30 - 17:00 tba
    Group 1 06.09.22 - 27.09.22 Tuesday 13:45 - 15:15 tba
    Group 2 06.09.22 - 27.09.22 Tuesday 13:45 - 15:15 tba
    Group 3 06.09.22 - 27.09.22 Tuesday 15:30 - 17:00 tba
    Group 4 06.09.22 - 27.09.22 Tuesday 15:30 - 17:00 tba
    Group 1 07.09.22 - 28.09.22 Wednesday 13:45 - 15:15 tba
    Group 2 07.09.22 - 28.09.22 Wednesday 13:45 - 15:15 tba
    Group 3 07.09.22 - 28.09.22 Wednesday 15:30 - 17:00 tba
    Group 4 07.09.22 - 28.09.22 Wednesday 15:30 - 17:00 tba
    Group 1 08.09.22 - 29.09.22 Thursday 13:45 - 15:15 tba
    Group 2 08.09.22 - 29.09.22 Thursday 13:45 - 15:15 tba
    Group 3 08.09.22 - 29.09.22 Thursday 15:30 - 17:00 tba
    Group 4 08.09.22 - 29.09.22 Thursday 15:30 - 17:00 tba
    E701: Advanced Microeconomics I (1st year)
    8 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E701
    Credits: 8
    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

    Taylan Alpkaya

    Schedule
    Lecture
    Lecture 10.10.22 - 05.12.22 Monday 10:15 - 11:45 tba
    Lecture 12.10.22 - 07.12.22 Wednesday 10:15 - 11:45 tba
    Tutorial
    Tutorial 12.10.22 - 10.12.22 Wednesday 15:30 - 17:00 tba
    Tutorial 13.10.22 - 10.12.22 Thursday 13:45 - 15:15 tba
    E702: Advanced Macroeconomics I (1st year)
    8 ECTS
    Lecturer(s)
    Course Type: core course
    Course Number: E702
    Credits: 8
    Prerequisites

    E700

    Course Content

    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.

     

     

     

    Schedule
    Lecture
    Lecture 13.10.22 - 08.12.22 Thursday 15:30 - 17:00 tba
    Lecture 14.10.22 - 09.12.22 Friday 08:30 - 10:15 tba
    Tutorial
    Tutorial 10.10.22 - 10.12.22 Monday 13:45 - 15:15 tba
    Tutorial 10.10.22 - 10.12.22 Monday 15:30 - 17:00 tba
    E703: Advanced Econometrics I (1st year)
    8 ECTS
    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

    Giovanni Ballarin

    Schedule
    Lecture
    Lecture 11.10.22 - 06.12.22 Tuesday 10:15 - 11:45 tba
    Lecture 13.10.22 - 08.12.22 Thursday 10:15 - 11:45 tba
    Tutorial
    Tutorial 11.10.22 - 10.12.22 Tuesday 13:45 - 15:15 tba
    ACC 923: Corporate Sustainability and Decarbonization
    3 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: ACC 923
    Credits: 3
    Course Content

    This seminar is aimed at doctoral students at GESS. The seminar hosts speakers from academia and industry to discuss latest advances and challenges that companies face in the transition towards more sustainable business practices and net carbon emissions of zero. Topics covered include the economics and management of sustainability activities and emission abatement strategies across all sectors of the economy.

    Course participants need to attend the seminar talks and the internal sessions. In the internal sessions, students are asked to present a paper and/or take the role of a discussant. Readings may additionally include recent theory or empirical papers.

    Learning outcomes: The primary objective of the course is to introduce students to current research paradigms on the covered topics and to identify promising avenues for future research. Moreover, students receive a training on how to present and evaluate papers in seminars and conferences.

     

    Form of assessment: Participation (20%), Paper presentations and discussions (80%)


    The course takes place every second week, starting 6 September 2021. Additional seminar dates on 13 September and 6 December

    Schedule
    Lecture
    05.09.22 - 05.12.22 Monday 17:15 - 18:45 O 129
    E800: CDSE Seminar (2nd & 3rd year)
    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
    Seminar 06.09.22 - 06.12.22 Tuesday 15:30 - 17:00 tba
    E8001: Macroeconomis and Inequality (2nd year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8001
    Credits: 5
    Prerequisites

    E700-E703, E801-E806

    Schedule
    Lecture
    Lecture 07.09.22 - 07.12.22 Wednesday 13:45 - 15:15 tba
    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

    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
    Seminar
    Seminar 05.09.22 - 05.12.22 Monday, every two weeks 13:45 - 15:15 tba
    E8008: Doctoral Colloquium (3rd & 4th year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8008
    Credits: 5
    Schedule
    Seminar
    Seminar 08.09.22 - 08.12.22 Thursday 13:45 - 15:15 tba
    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
    Seminar
    Seminar 08.09.22 - 08.12.22 Thursday 15:30 - 17:00 tba
    E8012: Macro Reading Group (2nd year +)
    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.

    Requirements for the assignment of ECTS Credits and Grades

    • Presentation 80%
    • Discussion 20%
    Course Content

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

    Competences acquired

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

    Schedule
    Seminar
    Seminar 05.09.22 - 05.12.22 Monday 13:45 - 15:15 tba
    E8017: Macroeconomic Shocks & Propagation: Methods and applications (2nd year)
    7.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8017
    Credits: 7.5
    Prerequisites

    E700-703, E801-806

    Requirements for the Assignment of ECTS Credits and Grades

    A research paper and regular assignments.

    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)

     

    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
    Lecture
    Lecture 05.09.22 - 17.10.22 Monday 10:15 - 11:45 tba
    Lecture 12.12.22 - 12.12.22 Monday 08:30 - 17:30 tba
    Tutorial
    Exercise 05.09.22 - 17.10.22 Monday 17:15 - 18:45 tba
    E8028: Financial Contract Theory (2nd year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8028
    Credits: 5
    Prerequisites

    E700-703, E801-806

    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
    Lecture
    Lecture 06.09.22 - 06.12.22 Tuesday 08:30 - 10:00 tba
    E8036: Research Seminar in Applied Economics (3rd & 4th year)
    2.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8036
    Credits: 2.5
    Course Content

    The seminar will adapt to the interests of the participants as it is meant to help them start on their path to their own research. Participants will be asked to present their ideas and projects, which could be in a very preliminary state, as well as papers that relate to their ideas and projects. We will try and identify open research questions and empirical strategies that can answer these questions.

    Schedule
    Seminar
    Seminar 07.09.22 - 07.12.22 Wednesday, every two weeks 13:45 - 15:15
    E8037: Public Economics I (2nd year)
    7.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8037
    Credits: 7.5
    Prerequisites

    E700-E703 or equivalent

    Grading

    One 120-minute written exam (100%)

    Course Content

    This course is intended to be the first part of the two-semester PhD-level Public Economics sequence. The field is large, with significant theoretical and empirical components. The first course covers core ideas in the areas of market failures and public intervention, optimal taxation, provision of public goods, political economy of taxation and redistribution, tax incidence, tax evasion. We consider both normative approaches, that is, we ask what an ideal state would do in order to achieve distributive objectives, as well as positive perspectives, that is, how policies affect outcomes and how they come about. The contents will be mostly but not exclusively theoretical, and the theoretical foundations will work as building blocks for empirical studies which will be covered in more detail in Public Economics II.

    Topics to be covered:

    Public Goods

    Externalities

    Price vs. Quantity Regulations

    Introduction to Taxation / Tax Incidence

    Excess Burden

    Optimal Commodity Taxation

    Optimal Income Taxation

    Taxation of Firms/Capital

    Taxation of Mobile Firms and Households

    Tax Evasion

    Competences acquired

    The course introduces the core topics in Public Economics. The course should prove useful for any student interested in analyzing policy issues.

    Further information: Lecture notes will be provided.

    Useful references:

    Gruber, Public Finance and Public Policy, Worth Publishers, 2019

    Atkinson and Stiglitz, Lectures on Public Economics, Mc Graw-Hill, 1980

    Salanié, Microeconomics of market failures, MIT Press, 2010

    Cornes and Sandler, The Theory of Externalities, Public Goods and Club Goods, Cambridge University Press, 2012

    Salanié, The economics of taxation, MIT Press, 2011

    Myles, Public Economics, Cambridge University Press, 1995

    Mas-Collel, Whinston, Green, Microeconomic Theory, Harvard University Press, 1996

    Stiglitz, Economics of the Public sector, 3rd Edition, 2000, Norton & Company

    Hindriks and Myles, Intermediate Public Economics, MIT Press

     

    Schedule
    Lecture
    Lecture 05.09.22 - 05.12.22 Monday 08:30 - 10:00 tba
    Lecture 07.09.22 - 30.11.22 Wednesday, every two weeks 08:30 - 10:00 tba
    E8040: Topics in Experimental Econometrics and Causal Inference (3rd & 4th year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8040
    Credits: 5
    Prerequisites

    Successful completion of first two years of PhD program

    Requirements for the assignment of ECTS Credits and Grades

    A written seminar paper on a topic of own choice and a presentation in class.

    Course Content

    Research seminar where Ph.D. students, who have completed their course work, present their own research and receive feedback.  This 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.

    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
    Lecture
    Lecture 07.09.22 - 07.12.22 Wednesday 12:00 - 13:30 tba
    E8041: Environmental Economics Research Seminar (3rd & 4th year)
    2.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8041
    Credits: 2.5
    Course Content

    In this seminar, internal and external speakers discuss their recent research in environmental economics. Students working on an empirical or theoretical project that is related to environmental economics are welcome to present. Please contact the instructor to set up a date.

    Schedule
    Seminar
    Seminar 06.09.22 - 06.12.22 Tuesday, every two weeks 12:00 - 13:30 tba
    E8042: Economic History (2nd year)
    9 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8042
    Credits: 9
    Prerequisites

    E700-E703, E801-E806

    Grading

    Written exam (100 min, 70%), presentation (20%), discussion participation (10%).

    Additional requirements for PhD students
    In addition to the regular course work, PhD students have to write a short empirical research paper on a topic that will be developed together with the course instructor (potential data sets are also provided by the course instructor); the regular course work (exam, presentation, and discussion participation) and the research paper account for 50% of the overall grade, respectively.

    Course Content

    Economic history is important to understand long-run economic development, in particular to study the question why some countries are rich and others remain poor. In this course, we focus on selected topics of quantitative economic history that applied economists and economic historians explored in recent years. Topics include trade and the growth of cities, the importance of institutions for economic development, religion, human capital, innovation, market integration, financial development, inequality, and health and epidemics. The lecture (2 hours) gives you an overview on recent empirical research on each topic. In the exercise sessions, we then discuss important research papers in more depth. It is required that every course participant presents a critical discussion of a research paper in the exercise session. The presentation accounts for 20% of the final grade, and the participation in the related discussions accounts for 10% of the final grade.

     

     

    Competences acquired

    Students will acquire thorough knowledge of empirical methods used in modern applied economics and of the main topics of research in economic history. They will be able to apply their knowledge of econometrics in analyzing research questions in economic history and to discuss potential policy implications, for example with respect to development policy. The course also aims at enabling students to critically evaluate research designs they may encounter in their future career.

    Further information: I will upload a detailed syllabus (including a list of references) on my website (https://www.vwl.uni-mannheim.de/en/donges/) in July.

    Contact: Dr. Alexander Donges; phone: 0621-181-3428; e-mail: donges@uni-mannheim.de; office: L7, 3-5, Raum S10.

    Schedule
    Lecture
    Lecture 08.09.22 - 08.12.22 Thursday 10:15 - 11:45 tba
    Tutorial
    Exercise 08.09.22 - 08.12.22 Thursday 12:00 - 13:30 tba
    E8047: Markets, Morality and Social Responsibility (2nd year)
    7.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8047
    Credits: 7.5
    Prerequisites

    All first year PhD courses

     

    Grading: the student can choose between:

    i) one presentation + one referee report,
    ii) one research proposal.

    Course Content

    This course covers some recent advancements on the topic morality & markets.
    Each paper discussed will provide an element of answer to one of the following questions:

    • How to measure and model the ethical preferences of market participants (managers, consumers, employees, etc.)?

    • Why, and how, do many companies undertake supposedly virtuous actions?

    • How to design contracts to screen and incentivize motivated employees?

    • How to incite companies to adopt more sustainable practices? Warning: incentives may backfire.

    Although we are going to discuss both the empirical (mainly field and lab experiments) and theoretical literature, the focus will be mainly put on the theory.
    In addition to students interested in morality and markets, I particularly welcome and encourage theory-oriented students to take this class if they are interested in incorporating ideas and tools from
    behavioral economics into their research.

     

    Schedule
    Lecture
    Lecture 06.09.22 - 06.12.22 Tuesday 10:15 - 11:45 tba
    Tutorial
    Exercise 06.09.22 - 06.12.22 Tuesday 12:00 - 13:30 tba
    E8049: Research Seminar in International Economics (3rd & 4th year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8049
    Credits: 5
    Prerequisites

    Core PhD courses, PhD International Trade

    Grading and ECTS credits

    Grades are based on active participation, presentation of research project: participation in class (50%), presentations (50%).

     

     

     

     

    Course Content

    This is a research seminar for 3rd and 4th year students who are writing their thesis in the field of international economics. Students present their own research projects and we discuss relevant papers in international economics.

    Competences acquired

    The aim of the course is to follow and guide students during the thesis writing process. The acquired competences will be to develop and structure research projects in international economics, to improve academic writing and presentation skills. 

    Schedule
    Seminar
    Seminar 06.09.22 - 06.12.22 Tuesday 10:15 - 11:45 tba
    E8052: Market Design: Auctions and Matching Algorithms (2nd year)
    6 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8052
    Credits: 6
    Prerequisites

    E700-E703


    Grading and ECTS credits

    Seminar paper (50%) + presentation (50%)

    Course Content

    Goals and contents of the module:

    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.

     

    Competences acquired

    Expected competences acquired after completion of the module:
    After participating in the course, the participants will be familiar with (part of) the research frontier in market design. In particular, regarding the application of auctions and matching algorithms.

    Contact Information: Gretschko, Vitali; vitali.gretschko@zew.de

    Schedule
    Seminar
    Introductory Meeting 09.09.22 - 09.09.22 Friday 12:00 - 13:30 tba
    Seminar 08.12.22 - 08.12.22 Thursday 11:00 - 16:00 tba
    Seminar 09.12.22 - 09.12.22 Friday 11:00 - 16:00 tba
    E8053: Colloquium for PhD Students (3rd & 4th year)
    2.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8053
    Credits: 2.5
    Schedule
    Seminar
    Seminar 14.09.22 - 07.12.22 Wednesday, every two weeks 13:45 - 15:15 tba
    E8054: Research in Health and Labor Economics (2nd & 3rd year)
    10 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E8054
    Credits: 10
    Prerequisites

    E700 - 703, E801 - 806

    Requirements for the assignment of ECTS-Credits and Grades

    Paper presentation: 10%

    Research sketches on promising research ideas: 25%

    Report on fellow student’s research sketches: 15%

    End-of-semester presentation of most promising research sketch: 15%

    Extended research sketch on most promising research idea and design: 25%

    Class attendance: 5%

    Class participation: 5%

    Course Content

    This course has two main objectives: (i) To teach PhD students the process of developing research ideas and carrying out research themselves. (ii) To provide a state-of-the-art overview of research topics at the intersection of health and labor economics.

     

    Competences acquired
    • Acquiring an understanding of the process of doing research.
    • Acquiring tools and techniques to publish scientific papers in the field of applied economics.
    • Learning how to generate and dismiss research ideas.
    • Acquiring the ability to write concise and high-quality research sketches and provide constructive feedback on other students’ sketches.
    • Obtaining an up-to-date overview of the studies, methods, and findings of the applied economics literature at the interaction of health and labor.
    • Applying knowledge from (applied) (micro)econometrics and microeconomic theory to topics in health and labor.
    • Improving presentation and communications skills.
    • Discussing others’ work in a constructive manner, and to learn how to deal with constructive critique.

    Further information

    Syllabus will be posted in the first week of class. Readings for each week will be announced each week.

    Schedule
    Lecture
    Lecture 06.09.22 - 06.12.22 Tuesday 13:45 - 15:15 tba
    Lecture 08.09.22 - 08.12.22 Thursday 08:30 - 10:00 tba
    E823: Advanced Time Series Analysis (2nd year)
    9 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E823
    Credits: 9
    Prerequisites

    E700-E703 and E801-E806

    Grading and assignment of ECTS-credits

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

    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.

    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
    Lecture
    Lecture 05.09.22 - 05.12.22 Monday 15:30 - 17:00 tba
    Tutorial
    Exercise 07.09.22 - 07.12.22 Wednesday 17:15 - 18:45 tba
    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.

    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
    Lecture
    Lecture 08.09.22 - 08.12.22 Thursday 12:00 - 13:30 tba
    E846: PhD Reading Course in Industrial Organization (3rd & 4th year)
    5 ECTS
    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
    Seminar
    Seminar 09.09.22 - 09.12.22 Friday 12:00 - 13:30 tba
    E854: Topics in Mechanism Design (2nd year)
    5 ECTS
    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
    Lecture
    Lecture 07.09.22 - 07.12.22 Wednesday 10:15 - 11:45 tba
    E859: Institutional Economics and Economic Policy (2nd year)
    7.5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E859
    Credits: 7.5
    Prerequisites

    E700-E703, E801-E806

    Requirements for the assignment of ECTS-Credits and Grades

    Written exam (90 minutes)

    Course Content

    Goals and Contents of the module

    The Role of institutions in economic policymaking/Ordnungspolitik
        Overview of the course
        Game theory: a short introduction
        Mechanism Design
            Basic setup
            The revelation principle in dominant strategies
            The Gibbard Satterthwaite theorem
            Bayesian implementation/the revelation principle
        Quasilinear environments
            VCG mechanisms
            AGV mechanisms
            Participation constraints
            The Myerson Satterthwaite theorem
            Robust possibility theorems
            Auctions
            Optimal mechanisms
            Robust mechanism design
        Preference aggregation
            Theory
            Experimental evidence
        Information aggregation in committees
            Theory
            Experimental evidence
        Financing public goods
            Theory
            Experimental evidence
        Mechanisms for fiscal stability
        Economic policy and credit markets
        Mechanisms for monetary policy

    Competences acquired

    Students learn about theories of information aggregation in institutions. They learn to apply them to practical problems.

    Schedule
    Lecture
    Lecture 05.09.22 - 05.12.22 Monday 14:45 - 17:00 tba
    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

    Grading

    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.

    Course Content

    Students present and discuss policy related economic research.

    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

     

    Schedule
    Seminar
    Seminar 05.09.22 - 05.12.22 Monday 17:15 - 18:45 tba
    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

    Requirements for the assignment of ECTS-Credits and Grades

    Oral presentation of own reserach, contribution to discussion of other perticipants' reserach; only pass/ fail.

    Course Content

    Presentation and discussion of current research in public economics (external and internal speakers)

     

    Competences acquired

    Improve presentations skills, obtain feedback to improve research paper.

    Schedule
    Seminar
    Seminar 06.09.22 - 06.12.22 Tuesday 12:00 - 13:30 tba
    E877: Behavioral Game Theory (and Experiments) (2nd year)
    4 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E877
    Credits: 4
    Prerequisites

    First year courses

    Grading and assignment of ECTS credits

    Written exam (90 min)

     

    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

     

    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
    Lecture
    Lecture 18.10.22 - 06.12.22 Tuesday 13:45 - 15:15 tba
    E883: Topics and Projects in Experimental Economics (2nd year)
    10 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E883
    Credits: 10
    Prerequisites

    E700-E703, E801-E806

    Grading and ECTS credits

    Presence and participation in discussion and presentation of own research. Writing a research proposal. Grades are assigned on a pass/non-pass basis.

    Course Content

    This module is intended to introduce 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 these papers in advance. 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.

    Competences acquired

    On completion of the module students will have gained insights into recent topics of research in experimental and behavioral economics. They will have improved their ability to present - in a clear and structured manner- their own research ideas. They will have gained practice in adequately and constructively criticizing research ideas and their implementation, and they will have acquired advanced skills in communication and team work. They will have developed an improved sense of recognizing the potentials of a research idea.
    Further information: Please refer to the syllabus of this course for further information, in particular on the required presentations in week two of the semester.

    Schedule
    Lecture
    Lecture 09.09.22 - 09.12.22 Friday 13:45 - 17:00 tba
    E887: Topics in Microeconometrics (2nd-Year)
    10 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E887
    Credits: 10
    Prerequisites

    E700-E703, E801-E806

    Grading and ECTS credits:

    Presence and participation in discussion, presentation of short research proposal. Grades are assigned on a pass/non-pass basis.

    Course Content

    This module introduces students to current topics in microeconometrics, such as non- and semiparametric methods, machine learning, and causal inference. The course will be delivered via a mix of lectures, joint readings of papers, in-class discussions, and student presentations. It is geared towards both students with an interest in econometric theory, and students who want to use modern econometric methods for their empirical research.

    In the Fall '22, the covered topics will be Machine Learning in Economics (Rothe) and Nonparametric Econometrics (Xu)

    Competences acquired

    On completion of the module students will have gained insights into recent topics of research in microeconometrics. They will have gained practice in adequately and constructively criticizing research ideas and their implementation. They will have developed an improved sense for how to use modern microeconometric techniques in their own research.

    Schedule
    Lecture
    Lecture 06.09.22 - 06.12.22 Tuesday 10:15 - 11:45 tba
    Lecture 08.09.22 - 08.12.22 Thursday 10:15 - 11:45 tba
    E891: International Trade (2nd year)
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: E891
    Credits: 5
    Prerequisites

    All first year Ph.D. courses

    Grading

    Active participation in class (20%), problem sets (40%), presentation (40%).

    Course Content

    This course offers a rigorous introduction to international trade at the Ph.D. level, emphasizing both theoretical models and empirical evidence. The first part of the course will be structured as a lecture. We will discuss the core models of modern international trade theory. We will first study neoclassical trade models, i.e., the Ricardian- (Eaton-Kortum) 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 discuss theories of multinational firms, offshoring and global value chains, the labor market consequences of international trade and trade policy.
    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’ interests.

    Competences acquired

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

     

    Further information:

    No single textbook covers the topics of this course adequately and the lectures will be based mostly on research articles. A useful reference for students who want to get an idea about the field of international trade is:

    Feenstra, R.C. (2015): Advanced International Trade: Theory and Evidence, 2nd edition,  Princeton University Press.

    Gopinath, G.  E.Helpman and K.Rogoff, eds. (2014): Handbook of International Economics,  Elsevier

     

    Contact Information: Harald Fadinger; Phone: (0621) 181 -3505; email: herald.fadinger@uni-mannheim.de  Office: 4.19, Office hours: upon appointment

    Schedule
    Lecture
    Lecture 07.09.22 - 07.12.22 Wednesday 10:15 - 11:45 tba
    RES (Bridge Course): Women in Leadership
    5 ECTS
    Lecturer(s)
    Course Type: elective course
    Course Number: RES (Bridge Course)
    Credits: 5
    Course Content

    This course takes an interdisciplinary approach to examine the gender gap in leadership positions. We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment. The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.

    The course consists of four core building blocks:

    1. Women in Leadership: The Economic Perspective.
    2. Women in Leadership: The Psychological Perspective.
    3. “Raise Your Voice” – Rhetoric Training
    4. “Raise Your Pay” – Negotiation Training

    Full course syllabus & dates

    Schedule
    Lecture
    07.09.22 Wednesday 10:15 - 11:45 O 048 Link
    21.09.22 - 19.10.22 Wednesday 10:15 - 11:45 1st two dates O 048 then in O 145
    26.10.22 - 16.11.22 Wednesday 10:15 - 13:30 O 048

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Economics Fall 2022