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Spring 2019
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Economics
Core CoursesECTSCourse Type: core courseE801: Advanced Microeconomics II5 ECTSLecturer(s)
Course Type: core courseCourse Number: E801Credits: 5Prerequisites
E700, E701, E702, E703
Requirements for the assignment of ECTS-Credits and Grades
- Final examination (120 min)
Literature
- Stokey, Lucas (with Prescott) (1989), “Recursive Methods in Economic Dynamics,” Harvard University Press.
- Fudenberg and Tirole (1991), “Game Theory,” MIT Press.
- Mailath and Samuelson (2006), “Repeated Games and Reputations,” Oxford University Press
Course Content
First part (Tarantino):
This part of the course is devoted to the study of dynamic games. The following topics will be covered:
- Discrete-time models:
- Discrete-time infinite-horizon maximization problems.
- Bargaining games and the Coase conjecture.
- Learning and experimentation.
- Continuous-time models:
- Continuous-time infinite-horizon maximization problems.
- Strategies in continuous time.
- Bargaining games and Coasian dynamics.
- Strategic experimentation.
Second part (Schutz):
This part of the course provides an introduction to the theory of repeated games. The following topics will be covered:
- Infinitely repeated games with perfect monitoring.
- Infinitely repeated games with imperfect public monitoring.
- Extensions: Finitely repeated games, stochastic games, etc.
Third part (Orzen):
This part of the course covers selected topics in behavioral and experimental economics:
- Individual decision making under risk.
- Social preferences.
- Methodology.
Competences acquired
First part (Tarantino): The goal in this part is to allow students to acquire two distinct sets of competences. First, they will acquire the mathematical skills related to dynamic optimization techniques in discrete and continuous time, and their application to economic models. Second, they will read on the recent developments in the economics literatures on dynamic bargaining models (with one-sided private information), strategic experimentation and dynamic contracting. The ultimate objective is to bring them to the frontier of research in this area.
Second part (Schutz): The students will know and understand the basic building blocks of the theory of repeated games. They will be able to apply that theory to their own research and to read recent developments in the field.
Third part (Orzen): Students will be able to describe important approaches and models in the field of behavioral economics, and they will be able to apply some of these concepts to new situations of economic relevance. Furthermore, they will be able to reconsider some canonical models from a behavioral perspective, will know a number of important experimental results, and will be aware of important methodological debates in the field of economics.
Schedule
Lecture 01.04.19 – 27.05.19 Monday 10:15 – 11:45 L7, 3–5, P044 01.04.19 – 27.05.19 Monday 12:00 – 13:30 L7, 3–5, P044 Written Exam 06.06.19 Thursday 10:30 – 12:30 Schloss Ostflügel, O 226/ 28 Tutorial 27.03.19 – 29.05.19 Wednesday 15:30 – 17:00 L7, 3–5, P044 E802: Advanced Macroeconomics II5 ECTSLecturer(s)
Course Type: core courseCourse Number: E802Credits: 5Prerequisites
E700, E701, E702, E703
Requirements for the assignment of ECTS-Credits and Grades
- Final examination
- Solutions to problem sets
- Participation in exercise sessions
Course Content
This course covers basic methods useful for dynamic economic modeling under rational expectations:
- Linear Rational Expectations (RE) Models: linearizing economic models and solving linear RE models: determinacy, indeterminacy, and 'sunspot' equilibria.
- Linear RE models and Vector Auto-Regressions (VARs): state space representation of economic models, VAR representation of observables, invertibility problems, identification of economic shocks.
- Linear Quadratic (LQ) Dynamic Programming: solving LQ problems: Ricatti equation, invariant subspace methods, stochastic problems and certainty equivalence.
- Introduction to the New Keynesian Model and its Linearized Form.
Competences acquired
After the course students will be able to apply and understand the basic tools used in business cycle analysis and will be able to follow the recent literature on dynamic stochastic general equilibrium models. They also learn how these techniques could be applied in other fields concerned with dynamic decision making.
Teaching Assistant
Schedule
Lecture 13.02.19 – 27.03.19 Wednesday 10:15 – 11:45 L7, 3–5, P044 13.02.19 – 27.03.19 Wednesday 13:45 – 15:15 L7, 3–5, P044 Written Exam 29.03.19 – 29.03.19 Friday 10:15 – 12:15 Schloss Ostflügel, O 226/ 28 Tutorial 12.02.19 – 26.03.19 Tuesday 17:15 – 18:45 B6, 30–32, 209 E803: Advanced Econometrics II5 ECTSLecturer(s)
Course Type: core courseCourse Number: E803Credits: 5Prerequisites
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
- Written Exam (120 minutes) 75%
- Assignments 25%
Course Content
The course provides an introduction to semi- and nonparametric estimation methods in microeconometrics, as well as to bootstrap theory and treatment effect evaluation.
Literature/
recommended textbooks Cameron, A.C. and Trivedi, P.K. (2005), Microeconometrics: Methods and Applications, Cambridge University Press
Wooldridge, J.M. (2010), Econometric Analysis of Cross Section and Panel Data, Cambridge University Press
Hansen, B.E. (2017), Econometrics, Lecture Notes.
Heckman, J. and Vytlacil, E. (2007), Econometric Evaluation of Social Programs, Handbook of Econometrics Vol. 6B, Chs. 70–71.
Competences acquired
On successful completion of the module, students are expected to attain the following competences:
- Attain advanced theoretical knowledge in econometrics in the specific topics the module covers at a high technical and mathematical level.
- Be familiar with current theories and recent developments in the specific topics of focus for the module.
- Attain a higher/
advanced level of analytical capability. - Be in a position to take on follow-up advanced theoretical and applied econometrics modules.
- Attain the level of competence that permits independent undertakings in search of new knowledge in the specialist areas the module covers.
- Attain the level of competence required to carry out (theoretical) research-oriented projects independently.
- To be in a position to exchange information, ideas, and solutions with experts of the field on a scientific level as well as with laymen.
- To be able to communicate and to work effectively and efficiently with people and in groups.
Graduates are able to communicate precisely in the English specialist language.
Schedule
Lecture 12.02.19 – 19.03.19 Tuesday 10:15 – 11:45 B6, 30–32, 309 12.02.19 – 19.03.19 Tuesday 12:00 – 13:30 B6, 30–32, 309 Written Exam 25.03.19 – 25.03.19 Monday 13:45 – 15:45 L9, 1–2, 001 Tutorial 15.02.19 – 22.03.19 Friday 10:15 – 11:45 B6, 30–32, 212 E804: Advanced Microeconomics III5 ECTSLecturer(s)
Course Type: core courseCourse Number: E804Credits: 5Prerequisites
E700, E701, E702, E703, E801, E802, E803
Course Content
The goal is to provide an introduction to the role of private information and its strategic use in various environments including markets, contracts, negotiations, regulation, communication, political processes, and expert advice.
Summary of Contents:
I. Adverse Selection.
II. Signaling.
III. Screening.
IV. Moral Hazard.
V. Mechanism design.Requirements for the assignment of ECTS-Credits and Grades: Written Exam
Teaching assistant
Competences acquired
Successful participants’ understanding of the role of private information in strategic environments is at the forefront of current research. They are ready to begin developing their own research questions in this field of study, can synthesize their knowledge with the study of economic problems in other fields, and are able to find solutions to practical problems concerning beneficial regulatory interventions in various contexts of market failure. Crucially, successful participants understand the fundamental tension between private information and achieving social goals. This understanding enlightens their judgment of conflict and cooperation in a wide range of social situations beyond the narrow context of economics.
Schedule
Lecture 11.02.19 – 18.03.19 Monday 10:15 – 11:45 L7, 3–5, P043 12.02.19 – 19.03.19 Tuesday 15:30 – 17:00 L9, 1–2, 002 Written Exam 05.04.19 – 05.04.19 Friday 10:15 – 12:15 B6, 30–32, 211 Tutorial 14.02.19 – 21.03.19 Thursday 10:15 – 11:45 B6, 30–32, 212 E805: Advanced Macroeconomics III5 ECTSLecturer(s)
Course Type: core courseCourse Number: E805Credits: 5Prerequisites
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
There will be problem sets and one final exam. The course grade is based on your performance in the problem sets (20%) and the final (80%).
Literature/
recommended textbooks Lars Ljunqvist and Thomas J. Sargent, 2012, Recursive Macroeconomic Theory, MIT Press.
Nancy Stokey and Robert E. Lucas (with Edward C. Prescott), 1989, Recursive Methods in Economic Dynamics, Harvard University Press.
Course Content
This course develops the basic tools of modern macroeconomics and discusses various applications. In particular, this course covers in depth the theory and computational implementation of dynamic programming. The topics of this course are:
- Consumption and savings
- Investment
- Labor markets
- Recursive contracts
Teaching assistant
Competences acquired
Students acquire a deeper understanding of the mathematical methods used in modern macroeconomics. In particular, they learn about the scope and limitation of each mathematical method. The discussion of various applications in class and during TA sessions prepares students for conducting independent research on their Ph.D. (or Master) thesis. Though this course is mainly about macroeconomics, students are also able to apply the mathematical techniques (i.e. dynamic programming) to problems in other fields of economics. The generality of the mathematical/
theoretical framework allows students to connect seemingly unrelated problems and issues. Students not only formulate and solve advanced scientific problems, but also learn how to communicate their results effectively. Schedule
Lecture 02.04.19 – 28.05.19 Tuesday 10:15 – 11:45 L9, 1–2, 003 02.04.19 – 28.05.19 Tuesday 13:45 – 15:15 L9, 1–2, 002 Written Exam 07.06.19 – 07.06.19 Friday 10:15 – 12:15 Schloss Ostflügel, O 226/ 28 Tutorial 02.04.19 – 28.05.19 Tuesday 08:30 – 10:00 B6, 30–32, 212 E806: Advanced Econometrics III5 ECTSLecturer(s)
Course Type: core courseCourse Number: E806Credits: 5Prerequisites
E700, E701, E702, E703, E801, E802, E803
Requirements for the assignment of ECTS Credits and Grades
- Written Exam (120 minutes) 75%
- Assignments 25%
Literature/
recommended textbooks Cameron, A.C. and Trivedi, P.K. (2005), Microeconometrics: Methods and Applications, Cambridge University Press
Hamilton, J. D. (1994), Time Series Analysis, Princeton University Press.
Hayashi, F. (2000), Econometrics, Princeton University Press
Wooldridge, J.M. (2010), Econometric Analysis of Cross Section and Panel Data, Cambridge University Press
Course Content
Part I is devoted to basic analysis of panel data (models) and Part II deals with time series analysis. The second part is somewhat more detailed and deals with stationary and nonstationary time series set-ups.
(no exercise)
Competences acquired
On successful completion of the module, students are expected to attain the following competences:
- Attain advanced theoretical knowledge in econometrics in the specific topics the module covers at a high technical and mathematical level.
- Be familiar with current theories and recent developments in the specific topics of focus for the module.
- Attain a higher/
advanced level of analytical capability. - Be in a position to take on follow-up advanced theoretical and applied econometrics modules.
- Attain the level of competence that permits independent undertakings in search of new knowledge in the specialist areas the module covers.
- Attain the level of competence required to carry out (theoretical) research-oriented projects independently.
- To be in a position to exchange information, ideas, and solutions with experts of the field on a scientific level as well as with laymen.
- To be able to communicate and to work effectively and efficiently with people and in groups.
Graduates are able to communicate precisely in the English specialist language.
Schedule
Lecture 01.04.19 – 27.05.19 Monday 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 Elective CoursesECTSCourse Type: elective courseCOLLOQUIUM: Pathways to Decarbonization1 ECTSLecturer(s)
Course Type: elective courseCourse Number: COLLOQUIUMCredits: 1Course Content
Identify strategies for reducing CO2 emissions. Examine technological developments, business models and public policy.
The colloquium is open to doctoral students at the University of Mannheim, the ZEW, post docs, and researchers in the field of sustainable energy and decarbonization. Target Audience: researchers in economics and business.
Learning outcomes: Identify the state-of-the art in current work on carbon reduction strategies.
Form of assessment: class participation
Registration: Instructor’s permission to enroll. Please contact Prof. Reichelstein: reichelsteinuni-mannheim.de
Schedule
Lecture Kick-off 05.03.19 Tuesday 18:00 – 19:00 O 254 E800: CDSE Seminar12 ECTSLecturer(s)
Course Type: elective courseCourse Number: E800Credits: 12Prerequisites
2nd and higher year Ph.D. students from the Center for Doctoral Studies in Economics (CDSE)
2nd year students from the Master of Economic Research
Course Content
Method (hours per week): Colloquium (2 h)
Duration of the module: 4 semesters
ECTs awarded after each semester: 3 ECTs
Schedule
Seminar 12.02.19 – 28.05.19 Tuesday 15:30 – 17:00 L7, 3–5, P044 E8004: Reading Course in Environmental Economics (3rd & 4th Year)2.5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8004Credits: 2.5Prerequisites
First-year sequence in the Economics PhD program.
Requirements for the assignment of ECTS-Credits and Grades
Presentations
Course Content
Students will read, present and discuss papers in environmental economics.
Competences acquired
- Presentation skills
- Participation in scientific discourse
- Absorption of recent research in environmental economics
- Acquisition of a reading routine
Schedule
Lecture Fortnightly 18.02.19 – 27.05.19 Monday 13:45 – 15:15 L7, 3–5, 410 E8010: Econometrics Research Seminar (3rd & 4th Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8010Credits: 5Course Content
This seminar provides a forum for internal and external speakers to discuss their recent research in econometrics. Students working on either econometrics or an empirical project with a substantive econometric component are welcome to present. Please contact the instructor to set up a date.
Schedule
Lecture 14.02.19 – 30.05.19 Thursday 15:30 – 17:00 L7, 3–5, S031 E8012: Reading Course in Macroeconomic Policy5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8012Credits: 5Prerequisites
Formal: 2nd and higher year Ph.D. students from the Center for Doctoral Studies in Economics (CDSE).
2nd year students from the Master of Economic Research.
Course Content
Students are expected to gain knowledge on the frontier of modern quantitative macroeconomic research on growth and business cycles.
Requirements for the assignment of ECTS Credits and Grades
- Presentation 80%
- Discussion 10%
- Class Participation 10%
Schedule
Lecture 21.02.19 – 30.05.19 Thursday 13:45 – 15:15 L7, 3–5, P044 E8013: Search Theory and Labor Markets (2nd Year)10 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8013Credits: 10Prerequisites
Successful completion of the first year sequence.
Requirements for the assignment of ECTS Credits and Grades
Take home exam/
homeworks and student presentations Literature/
recommended textbooks Ljungqvist and Sargent. Recursive Macroeconomic Theory, third edition, 2012
Christopher A Pissarides. Equilibrium unemployment theory. MIT press, 1990
Course Content
Upon successful complete, students will be familiar with the cutting edge search models commonly used in a variety of economic fields ranging from labor economics, monetary econ, finance and family econ amongst many others. Students will be familiar with papers at the research frontier and potential avenues for future research.
Schedule
Lecture 14.02.19 – 30.05.19 Thursday 15:30 – 17:00 L9, 1–2, 409 14.02.19 – 30.05.19 Thursday 17:15 – 18:45 L9, 1–2, 409 E8014: Quantitative Macroeconomics with Heterogenous Households (2nd Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8014Credits: 5Prerequisites
E700, E701, E702, E703, E801, E802, E803, E805; some familiarity with a programming language of your choosing (e.g. Python, Fortran, Julia, C, MATLAB)
Course Content
This course will discuss how the household heterogeneity affects the economy and how the macroeconomic policy and existing market frictions underlie the level of inequality. To this end it will introduce the standard incomplete-markets model, an arguable workhorse of modern macroeconomics, in which households face uninsurable income risk and use risk-free assets to smooth the marginal utility of their consumption. This will be extended to: (1) models with overlapping generations and a life-cycle component and (2) two-asset models. Then we will review some policy-related applications with emphasis put on distributional consequences: fiscal stimulus payments, capital income taxation, and social security. Next recent empirical findings on consumption responses during the Great Recession will be juxtaposed with predictions of the model. If time permits, we will recast the standard framework in continuous time to achieve greater computational performance than traditional discrete-time methods.
Examination
Problem sets and term project
Schedule
Lecture 13.02.19 – 27.03.19 Wednesday 12:00 – 13:30 L7, 3–5, 410 13.02.19 – 27.03.19 Wednesday 13:45 – 15:15 L7, 3–5, 410 E8015: Learning Theories7 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8015Credits: 7Prerequisites
core courses
Course Content
The first half of this course will consist of a combination of lectures and tutorials. In the second half, students will conduct their own research, write a thesis and present their results to the audience. In the lecture, we will discuss problems of the Nash equilibrium concept and possible alternatives. The main part of the lecture will be devoted to presenting and comparing popular learning theories. More specifically, we will cover Fictitious play, Reinforcement Learning, Experienced weighted attraction learning, and Imitation. In the tutorials, students will learn to use simple programming tools to simulate the learning theories in the lecture.
Competences acquired
Knowledge of common learning theories. The ability to use said learning theories to predict behavior in repeated games. The ability to simulate and test said learning theories. Students will learn to find their own research topic, conduct some independent research and write an academic essay, as well as presenting own research in an accessible manner to other students.
Schedule
Lecture 13.02.19 – 29.05.19 Wednesday 15:30 – 17:00 L9, 1–2, 002 Tutorial 13.02.19 – 29.05.19 Wednesday 17:15 – 18:00 L9, 1–2, 002 E8022: Industrial Organization Empirics7 ECTSLecturer(s)
Course Type: elective courseCourse Number: E8022Credits: 7Course Content
The course examines the organization of firms, industries and markets. Industrial Organization studies the strategic interactions of firms in markets, and their implications for firms’ profits and consumer welfare. Market power and market structure are key concepts in IO. Market power (or monopoly power) is the ability of a firm, or group of firms, to gain extraordinary profits above those needed to remunerate the inputs. Market structure is a description of the number of firms in the market and of their respective market shares. The course has the goal to develop an active understanding of econometric analysis of market power and competition. Such goal is illustrated with applications to competition policy and competitive strategy. We will study empirically the determinants of firms’ and consumers’ behavior and market outcomes in the context of problems of price competition, investment, innovation, product design, mergers, or market entry-exit. Topics will cover: econometric issues and methods in the estimation of production functions, demand estimation, static models of Cournot and Bertrand competition, empirical models of entry and some general ideas of dynamic structural models.
Requirements for the assignment of ECTS-Credits and Grades
- Assignments: 4 (75%)
- Presentation (20%)
- Class participation (5%)
Competences acquired
Upon completion of this course, students will be able to develop and actively understand econometric analysis of market power and competition. They will be able to combine data, economic models, and appropriate econometric techniques to answer empirical questions in Industrial Organization.
Schedule
Lecture 15.02.19 – 31.05.19 Friday 13:45 – 15:15 L7, 3–5, P044 Tutorial Fortnightly 18.02.19 – 27.05.19 Monday 15:30 – 17:00 L9, 1–2, 003 E8024: Political Economy and Public Policy5 ECTSLecturer(s)
Zohal Hessami
Course Type: elective courseCourse Number: E8024Credits: 5Prerequisites
Requirements for the assignment of ECTS-Credits and Grades
- Presentation (50%)
- Referee report (50%)
Course Content
The course is intended as a forum to discuss and critically examine current research in the area of Empirical Political Economy. The emphasis is on literature that relies on methods and research designs that allow for a causal interpretation and that analyze the effect of political and fiscal institutions on policy outcomes. The relevant literature focuses on the following topics: electoral rules, fiscal and political institutions, selection of politicians, electoral incentives, electoral cycles in policymaking, political alignment, political economy considerations in the allocation of intergovernmental grants and so on.
Schedule
Lecture first session 12.02.19 Tuesday 10:15 – 11:45 L7, 3–5, 410 block course 21.05.19 – 21.05.19 Tuesday 08:30 – 18:45 L7, 3–5, 410 E820: Experimental Econometrics and RCTs in Development Economics (2nd Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E820Credits: 5Prerequisites
E700-E703, E801-E806.
Very successful mastery of the econometrics courses.
Requirement for the assignment of ECTS-Credits and Grades
Presentations and seminar paper.
Course Content
The seminar (formerly Theoretical Microeconometrics) prepares for own research in theoretical econometrics. This seminar covers recent developments in microeconometrics with a particular focus on identification and estimation strategies that deal with endogeneity issues. Preference will be given to articles in Econometrica, recently published or forthcoming.
Competences acquired
On successful completion of the module, students are expected to attain the following competences:
- Attain advanced knowledge in econometric theory.
- Attain a higher/
advanced level of analytical capability. - To be in a position to exchange information, ideas, and solutions with experts of the field on a scientific level as well as with laymen.
- Ability to communicate precisely in the English specialist language.
- Presentation skills.
- Attain the level of competence that permits independent undertakings in search of new knowledge in microeconometric theory.
Schedule
Lecture 13.02.19 – 29.05.19 Wednesday 12:00 – 13:30 L9, 7, 308 E839: Topics in Macroeconomics (3rd & 4th Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E839Credits: 5Prerequisites
First and second year PhD courses.
Course Content
The seminar discusses recent research projects in the field of macroeconomics on a weekly basis. In addition to Ph.D. students and professors from the University of Mannheim, scholars from other universities and institutions present their work.
Schedule
Lecture 14.02.19 – 30.05.19 Thursday 12:00 – 13:30 L9, 1–2, 003 E866: Research Seminar in Economic Policy (3rd & 4th Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E866Credits: 5Prerequisites
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: grueneruni-mannheim.de
L7, 3–5, room 2–06
Course Content
Students present and discuss policy related economic research.
Competences acquired
Students learn to apply economic theory and quantitative methods to policy problems.
Schedule
Lecture 11.02.19 – 27.05.19 Monday 17:15 – 18:45 L7, 3–5, P044 E873: Research Seminar in Public Economics (3rd & 4th Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E873Credits: 5Prerequisites
E700-E703, E801-E806
Course Content
Students get the credits for this course if they give a presentation at least once during the semester and participate in the discussion of the other seminar presentation.
Competences acquired
Develop own research agenda, execution of research projects, presentation of own research results.
Schedule
Lecture 12.02.19 – 28.05.19 Tuesday 12:00 – 13:30 ZEW, L7 1, room “Straßburg” 26.02.19 – 26.02.19 Tuesday 12:00 – 13:30 ZEW, L7 1, room 1 26.03.19 – 26.03.19 Tuesday 12:00 – 13:30 ZEW, L7 1, room 1 28.05.19 – 28.05.19 Tuesday 12:00 – 13:30 ZEW, L7 1, room 1 E878: Advanced PhD Seminar in Experimental Economics (3rd & 4th Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E878Credits: 5Prerequisites
E700- E703, E801- E806
Requirements for the Assignment of ECTS Credits and Grades
Presentation and active participation
Course Content
In this seminar participants present and discuss their current research as well as ideas for future research. An important goal of the seminar is to provide a forum for students working on projects that use experimental methods or relate to themes in behavioral economics.
If you are interested in the seminar, please contact Prof. Dr. Henrik Orzen.
Competences acquired
- Designing laboratory or field experiments
- Executing research projects
- Presenting own research results
Schedule
Lecture 13.02.19 – 29.05.19 Wednesday 10:15 – 11:45 tba E889: Topics in International Taxation and Fiscal Competition (2nd Year)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: E889Credits: 5Prerequisites
E700-E703, E801-E806 or equivalent (please consult with instructors if in doubt)
Requirements for the assignment of ECTS-Credits and Grades
Presentation and referee report.
Course Content
The course is intended to provide insights into current research in the area of public economics, with a focus on environments where countries/
regions are linked by spillovers from tax/ fiscal policies. This includes the following topics: taxation of interregionally mobile production factors, international migration of high skilled labor, cross border shopping, the role of taxation for location decision of firms, tax and fiscal competition, profit shifting and policy coordination to prevent it. The course is split into two halves, roughly but not entirely along the lines of theory and empirics. Competences acquired
Ability to understand current academic research at the frontier; critical evaluation of literature; first steps towards formulating own research questions; improvement of research writing and presentation skills.
Schedule
Lecture 12.02.19 – 28.05.19 Tuesday 13:45 – 15:15 L7, 3–5, P044 RES: Interdisciplinary Work in Economics and Social Sciences (Bridge Course)5 ECTSLecturer(s)
Course Type: elective courseCourse Number: RESCredits: 5Prerequisites
This is a Restricted Course for students who are currently doctoral students at the GESS of the University of Mannheim. It is intended for beginning as well as advanced doctoral students. This course is an elective course and counts as a 'Bridge Course'.
Course Content
This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it, actively participate in discussions with students from different centers with matching research interests and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers to discuss core topics of societal relevance. Within these panels, the students should talk about how their own field might contribute to the discussion of a specific topic and ideally come up with some joint interdisciplinary research ideas.
During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.
Assessment:
- Presentation, discussion (including a three-page referee report), and participation in discussion panel at GESS Research Day. An extended abstract and the set of slides that will be used for the presentation or (preferably) a working paper draft needs to be provided by each presenting student to the assigned discussant two weeks before the research day.
- Three pages individual reflection of the Research Day. Exemplary questions you can discuss in this document include (a) what you learned for your own project based during the day, (b) what new/
unexpected topics you discovered, and (c) where you see potential collaborations or new research ideas. You can include answers to one or some of these or other questions in your reflection. - Participation at Science Speed Dating event.
- Five pages interdisciplinary research proposal (group of two students) and presentation of this proposal
- Detailed rules and schedules will follow.
- Only pass/
fail
Please register by latest February 15th,2019, by sending a title and an abstract of the research project/
topic you would like to present to registrationgess.uni-mannheim.de. Please indicate in your e-mail your fields of interest and if you have any, mention up to three broad other fields (e.g. Marketing, Macroeconomics, Social Psychology) you would like to collaborate with. Please note that the course is limited to a maximum of 24 participants, and seats will be allocated on a first come first served basis (conditional on fulfilling the course prerequisites).
Course dates:
- Research Day: March 26th, 2019 (whole day symposium)
- Speed Dating: May 7th, 2019
- Presentation of research proposal: tbd, around one month after Speed Dating event
Competences acquired
- Present own research in front of a general audience
- Discuss work from another field
- Develop and present own interdisciplinary research ideas