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040063 UK Advanced Microeconometrics (MA) (2019S)

Track in Data Analysis and Policy Evaluation

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 07.03. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 08.03. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 14.03. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 15.03. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 21.03. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 22.03. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 28.03. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 29.03. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 04.04. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 05.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 12.04. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 02.05. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 03.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 09.05. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 16.05. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 16.05. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 17.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 23.05. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 24.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 06.06. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 07.06. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 13.06. 09:45 - 11:15 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 14.06. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 27.06. 09:45 - 11:15 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Content

This course provides students with a thorough and comprehensive knowledge of microeconometrics. Building upon the introductory course of microeconometrics, students will get a deeper understanding of microeconometric theory and the relevant methods used in contemporary empirical analysis. While the emphasis of the course is on estimating causal effects, other complementary techniques which are necessary to deal with specific data structures will be discussed as well. Using the statistical software Stata, students will learn to apply the introduced methods in regular computer practice sessions.

Questions addressed in this course are, among others: What methods allow to estimate causal effects? Which techniques are suitable for the analysis of categorical outcomes or duration outcomes? What are the implications of missing data or measurement error? How can the discussed estimation methods be implemented in Stata? etc.

Course goals

At the end of the course, students will be familiar with the relevant techniques and tools used in empirical microeconomics. This will allow them to critically read and understand empirical research. For a given research question and dataset, students will be able to choose appropriate econometric methods and conduct empirical analysis in Stata.

Prerequisites

• Knowledge of statistics and applied microeconometrics (MA course “Microeconometrics” or equivalent)
• Basic knowledge of Stata or similar statistical software

Assessment and permitted materials

The assessment consists of a final exam (30%), a midterm exam (30%) and an empirical research project (40%).

Minimum requirements and assessment criteria

Examination topics

All covered material is relevant for the exams.

Reading list

• Cameron, A. Colin, and Pravin K. Trivedi. Microeconometrics: Methods and Applications. Cambridge University Press, 2005
• Selected research papers

Supplementary reading:

• Wooldridge, Jeffrey M. Econometric Analysis of Cross Section and Panel Data (2nd edition). MIT Press, 2010
• Angrist, Joshua D., and Jörn-Steffen Pischke. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press, 2008

Association in the course directory

Last modified: Mo 07.09.2020 15:28