E700, E701, E702, E703
Requirements for the assignment of ECTS-Credits and Grades
Literature
First part (Tarantino):
This part of the course is devoted to the study of dynamic games. The following topics will be covered:
Second part (Schutz):
This part of the course provides an introduction to the theory of repeated games. The following topics will be covered:
Third part (Orzen):
This part of the course covers selected topics in behavioral and experimental economics:
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.
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/ |
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Tutorial | |||||||
27.03.19 – 29.05.19 | Wednesday | 15:30 – 17:00 | L7, 3–5, P044 | ||||
E700, E701, E702, E703
Requirements for the assignment of ECTS-Credits and Grades
This course covers basic methods useful for dynamic economic modeling under rational expectations:
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
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/ |
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Tutorial | |||||||
12.02.19 – 26.03.19 | Tuesday | 17:15 – 18:45 | B6, 30–32, 209 | ||||
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
The course provides an introduction to semi- and nonparametric estimation methods in microeconometrics, as well as to bootstrap theory and treatment effect evaluation.
Literature/
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.
On successful completion of the module, students are expected to attain the following competences:
- Attain a higher/
Graduates are able to communicate precisely in the English specialist language.
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 | ||||
E700, E701, E702, E703, E801, E802, E803
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
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.
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 | ||||
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/
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.
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:
Teaching assistant
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/
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/ |
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Tutorial | |||||||
02.04.19 – 28.05.19 | Tuesday | 08:30 – 10:00 | B6, 30–32, 212 | ||||
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
Literature/
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
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)
On successful completion of the module, students are expected to attain the following competences:
Graduates are able to communicate precisely in the English specialist language.
Lecture | |||||||
01.04.19 – 27.05.19 | Monday | 13:45 – 15:15 | L9, 1–2, 002 | ||||
01.04.19 – 27.05.19 | Monday | 15:30 – 17:00 | 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 | |||
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
uni-mannheim.deLecture | |||||||
Kick-off | 05.03.19 | Tuesday | 18:00 – 19:00 | O 254 | |||
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
Method (hours per week): Colloquium (2 h)
Duration of the module: 4 semesters
ECTs awarded after each semester: 3 ECTs
Seminar | |||||||
12.02.19 – 28.05.19 | Tuesday | 15:30 – 17:00 | L7, 3–5, P044 |
First-year sequence in the Economics PhD program.
Requirements for the assignment of ECTS-Credits and Grades
Presentations
Students will read, present and discuss papers in environmental economics.
Lecture | |||||||
Fortnightly | 18.02.19 – 27.05.19 | Monday | 13:45 – 15:15 | L7, 3–5, 410 | |||
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.
Lecture | |||||||
14.02.19 – 30.05.19 | Thursday | 15:30 – 17:00 | L7, 3–5, S031 | ||||
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.
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
Lecture | |||||||
21.02.19 – 30.05.19 | Thursday | 13:45 – 15:15 | L7, 3–5, P044 | ||||
Successful completion of the first year sequence.
Requirements for the assignment of ECTS Credits and Grades
Take home exam/
Literature/
Ljungqvist and Sargent. Recursive Macroeconomic Theory, third edition, 2012
Christopher A Pissarides. Equilibrium unemployment theory. MIT press, 1990
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.
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 | ||||
E700, E701, E702, E703, E801, E802, E803, E805; some familiarity with a programming language of your choosing (e.g. Python, Fortran, Julia, C, MATLAB)
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
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 | ||||
core courses
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.
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.
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 | ||||
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
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.
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 | |||
Requirements for the assignment of ECTS-Credits and Grades
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.
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 | |||
E700-E703, E801-E806.
Very successful mastery of the econometrics courses.
Requirement for the assignment of ECTS-Credits and Grades
Presentations and seminar paper.
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.
On successful completion of the module, students are expected to attain the following competences:
Lecture | |||||||
13.02.19 – 29.05.19 | Wednesday | 12:00 – 13:30 | L9, 7, 308 | ||||
First and second year PhD courses.
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.
Lecture | |||||||
14.02.19 – 30.05.19 | Thursday | 12:00 – 13:30 | L9, 1–2, 003 | ||||
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.deL7, 3–5, room 2–06
Students present and discuss policy related economic research.
Students learn to apply economic theory and quantitative methods to policy problems.
Lecture | |||||||
11.02.19 – 27.05.19 | Monday | 17:15 – 18:45 | L7, 3–5, P044 | ||||
E700-E703, E801-E806
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.
Develop own research agenda, execution of research projects, presentation of own research results.
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 | ||||
E700- E703, E801- E806
Requirements for the Assignment of ECTS Credits and Grades
Presentation and active participation
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.
Lecture | |||||||
13.02.19 – 29.05.19 | Wednesday | 10:15 – 11:45 | tba | ||||
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.
The course is intended to provide insights into current research in the area of public economics, with a focus on environments where countries/
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.
Lecture | |||||||
12.02.19 – 28.05.19 | Tuesday | 13:45 – 15:15 | L7, 3–5, P044 | ||||
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'.
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:
Please register by latest February 15th,2019, by sending a title and an abstract of the research project/
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