E700, E701, E702, E703
Requirements for the assignment of ECTS-Credits and Grades
Literature
Mas-Colell, Whinston and Green: Microeconomic Theory. Oxford UP 1995
The module consists of two parts. The first part (Honryo) covers the theory of general equilibrium. The goal is to introduce the basic concepts and tools in the field and to facilitate your transition from undergraduate study to your own research. The second part (Penczynski) covers essential topics of behavioral and experimental economics, such as prospect theory, time inconsistency, social preference, bounded rationality, strategic thinking.
After the first part, students should be familiar with the basic properties of general equilibrium models, and are able to understand research papers written in the field. After the second part, students will be able to describe some of the most important theories and experimental results of the field of behavioral economics and apply these concepts to new situations of economic relevance. They can re-consider canonical models from a behavioral perspective.
Lecture | |||||||
12.02.18 – 19.03.18 | Monday | 10:15 – 11:45 | P043, L7, 3–5 | ||||
12.02.18 – 19.03.18 | Monday | 12:00 – 13:30 | P043 in L7, 3–5 | ||||
written exam | 09.04.18 | Monday | 10:15 – 12:15 | O48 Castle Ostflügel | |||
Retake written exam | 28.06.18 – 01.06.18 | 10:15 – 12:15 | TBA | ||||
Tutorial | |||||||
14.02.18 – 21.03.18 | Wednesday | 15:30 – 17:00 | P044, L7, 3–5 | ||||
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.
Lecture | |||||||
14.02.18 – 21.03.18 | each Wednesday except for March14 | 10:15 – 11:45 | P043, L7, 3–5 | ||||
14.02.18 – 21.03.18 | each Wednesday except for March14 | 13:45 – 15:15 | P044, L7, 3–5 | ||||
written exam | 11.04.18 | Wednesday | 10:15 – 12:15 | EW151 Castle Ehrenhof West | |||
Retake written exam | 28.06.18 | 10:15 – 12:15 | TBA | ||||
Tutorial | |||||||
13.02.18 – 20.03.18 | Tuesday | 15:30 – 17:00 | 209, B6, 30–32 | ||||
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
Written Exam (120 minutes) 75%, Assignments that 25%
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 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/
- 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.
Lecture | |||||||
13.02.18 – 20.03.18 | Tuesday | 10:15 – 11:45 | 309 in B6, 30–32 | ||||
13.02.18 – 20.03.18 | Tuesday | 12:00 – 13:30 | 309 in B6, 30–32 | ||||
written exam | 16.04.18 | Monday | 17:15 – 19:15 | room 001, L9, 1–2 | |||
Retake written exam | 28.06.18 | 10:15 – 12:15 | TBA | ||||
Tutorial | |||||||
16.02.18 – 19.03.18 | Friday | 10:15 – 11:45 | 212, B6, 30–32 | ||||
E700 – E703
Requirements for the assignment of ECTS-Credits and Grades
Written final exam (120 min)
The goal of the module is to offer advanced treatment to econometric theory and to serve as the gate way to further advanced theoretical and applied econometric modules offered in the economics graduate program offered at the Department of Economics in Mannheim. The module offers an revision of undergraduate level econometrics before moving to extensive coverage of large- sample theory and some organizing estimation principles such as GMM and Extremum estimators. Asymptotic properties of these estimators are also the focus of the module as well as the treatment of serial correlation.
Lecture | |||||||
19.04.18 – 31.05.18 | Thursday | 08:30 – 10:00 | 002 in L9, 1–2 | ||||
20.04.18 – 01.06.18 | Friday | 08:30 – 10:00 | 003 in L9, 1–2 | ||||
written exam | 07.06.18 | Thursday | 10:15 – 12:15 | Castle Ostflügel O 48 | |||
Tutorial | |||||||
16.04.18 – 28.05.18 | Monday | 10:15 – 11:45 | 212 in B6 | ||||
extra session | 28.05.18 – 28.05.18 | Monday | 08:30 – 10:00 | 212 in B6, 30–32 | |||
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:
· Consumption and savings
· Investment
· Labor markets
Recursive contracts
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 | |||||||
17.04.18 – 29.05.18 | Tuesday | 15:30 – 17:00 | 003 in L9, 1–2 | ||||
18.04.18 – 30.05.18 | Wednesday | 13:45 – 15:15 | 209 in B6 | ||||
30.04.18 | Monday | 13:45 – 15:15 | 212 in B6, 30–32 | ||||
written exam | 13.06.18 | Wednesday | 13:45 – 15:45 | Castle Ostflügel O48 | |||
Tutorial | |||||||
17.04.18 – 29.05.18 | Tuesday | 10:15 – 11:45 | 212 in B6 | ||||
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
Written Exam (120 minutes) 75%, Assignments that 25%
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.
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/
- 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.
Lecture | |||||||
16.04.18 – 28.05.18 | Monday | 15:30 – 17:00 | 002 in L9, 1–2 | ||||
16.04.18 – 28.05.18 | Monday | 17:15 – 18:45 | 002 in L9, 1–2 | ||||
19.04.18 – 31.05.18 | Thursday | 10:15 – 11:45 | 003 in L9, 1–2 | ||||
09.05.18 – 09.05.18 | Wednesday | 08:30 – 11:45 | L9, 1–2, room 001 | ||||
23.05.18 – 23.05.18 | Wednesday | 08:30 – 11:45 | L9, 1–2, room 001 | ||||
written exam | 14.06.18 | Thursday | 10:15 – 12:15 | Castle Ostflügel O48 | |||
Presentations
Students will read, present and discuss papers in environmental economics.
Lecture | |||||||
12.02.18 – 28.05.18 | Monday, fortnightly | 13:45 – 15:15 | 410 in L7, 3–5 | ||||
Lecture | |||||||
14.02.18 – 30.05.18 | Wednesday | 08:30 – 10:00 | room 410 in L7,3–5 except for March 14 | ||||
14.02.18 – 30.05.18 | Wednesday | 10:15 – 11:45 | room 410 in L7,3–5 except for March 14 | ||||
14.03.18 | Wednesday | 08:30 – 11:45 | 212 in B6, 30–32 | ||||
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 | |||||||
15.02.18 – 31.05.18 | Thursday | 15:30 – 17:00 | S031 in L7, 3–5 | ||||
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 | |||||||
15.02.18 – 31.05.18 | Thursday | 15:30 – 17:00 | 409, L9, 1–2 | ||||
15.02.18 – 31.05.18 | Thursday | 17:15 – 18:45 | 409, L9, 1–2 | ||||
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 | |||||||
14.02.18 – 21.03.18 | Wednesday | 12:00 – 13:30 | 410 in L7, 3–5 | ||||
14.02.18 – 21.03.18 | Wednesday | 13:45 – 15:15 | 410 in L7, 3–5 | ||||
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 | |||||||
lecture | 08.03.18 – 01.06.18 | Thursday | 13:45 – 15:15 | P044 in L7, 3–5 | |||
09.03.18 – 01.06.18 | Friday, all Fridays except May 4 | 13:45 – 15:15 | 001 in L7, 3–5 | ||||
04.05.18 – 04.05.18 | Friday | 13:45 – 15:15 | S031, L7, 3–5 | ||||
Advanced Mirco Economic knowledge, Advanced Game Theory knowledge
The seminar course discusses the application and design of economic experiments. The course will focus on common experimental economic setups and highlight how these settings can be applied to answer your research questions. The course also covers important aspects of experimental economics, such as the replication of experiments, the (potential) need of pre-registering research setups, and the application of experimentrics to analyze lab data.
The core element of the course is the design of economic experiments. We will discuss state of the art experimental economic methods and work horses. In this respect, examples (of recent) papers will be used to demonstrate how these methods are applied in experimental economic papers.
The goal will be the development of a research idea and an experimental setup to answer it. In this regard, we will have group sessions where students present their research setups which will be critically discussed in class. Finally, students write short research paper which presents the experimental setup to analyze this idea.
Textbooks:
· Davis, D. D., & Holt, C. A. (1993). Experimental economics. Princeton university press.
· Friedman, D., & Sunder, S. (1994). Experimental methods: A primer for economists. Cambridge University Press.
· Camerer, C. F. (2011). Behavioral game theory: Experiments in strategic interaction. Princeton University Press.
· Camerer, C. F., Loewenstein, G., & Rabin, M. (Eds.). (2011). Advances in behavioral economics. Princeton University Press.
· Moffatt, P. G. (2015). Experimetrics: Econometrics for experimental economics. Palgrave Macmillan.
· Kagel, J. H., & Roth, A. E. (Eds.). (2016). The Handbook of Experimental Economics, Volume 2: The Handbook of Experimental Economics. Princeton university press.
Papers:
· Fehr, E., & Gächter, S. (2000). Fairness and retaliation: The economics of reciprocity. The Journal of Economic Perspectives, 14(3), 159–181.
· Charness, G., & Kuhn, P. (2011). Lab labor: What can labor economists learn from the lab?. Handbook of labor economics, 4, 229–330.
· Camerer, C. F., Dreber, A., Forsell, E., Ho, T. H., Huber, J., Johannesson, M., ... & Heikensten, E. (2016). Evaluating replicability of laboratory experiments in economics. Science, 351(6280), 1433–1436.
· Ability to critically assess research papers.
· Interactive participation in class.
Ability to development own research ideas and experimental designs.
Lecture | |||||||
21.02.18 – 24.05.18 | Wednesday | 10:15 – 11:45 | B143 in A5,6 B | ||||
21.02.18 – 30.05.18 | Wednesday, fortnightly | 13:45 – 15:15 | Castle EW 167 | ||||
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 | |||||||
13.02.18 – 29.05.18 | Tuesday | 12:00 – 13:30 | P044 in L7, 3–5 | ||||
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 | |||||||
15.02.18 – 31.05.18 | Thursday | 12:00 – 13:30 | P044 in L7, 3–5 | ||||
E700-E703, E801-E806.
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.
Requirements for the Assignment of ECTS Credits and Grades
Presentation (100%).
Doctoral Students will know how to
Lecture | |||||||
20.02.18 – 01.06.18 | Wednesday | 12:00 – 13:30 | 211, B6, 30–32 | ||||
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(at)uni-mannheim.de
L7, 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 | |||||||
12.02.18 – 28.05.18 | Monday | 17:15 – 18:45 | P044 in L7, 3–5 | ||||
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 | |||||||
12.02.18 – 28.05.18 | Monday | 15:30 – 17:00 | P043 in L7, 3–5 | ||||
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 | |||||||
13.02.18 – 29.05.18 | Tuesday | 08:30 – 10:00 | P043 in L7, 3–5 | ||||
Prerequisites:
Having a research project at an advanced stage
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 and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests 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 and discussion at GESS Research Day
- Three pages referee report
- Participation in discussion panel during the Research Day
- Three pages individual reflexion of the Research Day
- Ongoing meetings with discussion panel group
- Participation at Science Speed Dating event
- Five pages interdisciplinary research proposal (group of two students)
- Presentation of research proposal
- Only pass/
Competences acquired:
- Present own research in front of a general audience
- Discuss work from another field
- Develop and present own interdisciplinary research ideas
Course dates:
- Research Day: March 5th, 2018
- Speed Dating: May 15th, 2018
- Presentation of research proposal: tbd, around mid-June
Seminar | |||||||
05.03.18 | 09:00 – 17:00 | rooms 212, 230, 130 (all in B6, 30–32) | |||||
15.05.18 | 09:00 – 17:00 | TBA |