Introduction to Microeconometrics
The exam review (Klausureinsicht) will take place on Monday, August 26th, 2 pm at Ludwigstr. 33/3rd floor, room 348. Please email Pavel Obraztcov (email@example.com) if you would like to attend.
- Prof. Dr. Joachim Winter
- Pavel Obraztcov
Graduate (M.Sc., MQE and doctoral) students in economics
Thursday, 12.15 - 13.45
Room M 109, Main Building
Monday, 10.15 - 11.45
Room A125, Main Building
First lecture on Thursday, April 25.
First tutorial on Monday, April 29.
This course introduces students to econometric methods for the analysis of cross-sectional data and panel data. The course focuses on models with discrete and limited dependent variables. Extensions to panel data will be discussed.
The PC class involves programming (and thus requires a good working knowledge of Stata) as well as mathematical derivations for key results presented in the lecture.
Note that in contrast to the "Microeconometrics" course offered in recent years which carried 12 ECTS, this "Introduction to Microeconometrics" is an M6 course that carries 6 ECTS.
- Regressions and Maximum Likelihood estimation
- Hypothesis and specification tests
- Binary dependent variables
- Multinomial models and discrete choice
- Censoring and selection models
- Count data models
- Survival models
Further topics to be announced.
Econometrics or an equivalent graduate-level introductory course in econometrics
Lecture notes, class assignments, datasets and Stata code will be made available in the LSF system.
- For M.Sc. and doctoral students, there will be a written exam (120 minutes), on July 25th, 12 noon, Kaulbachstr. 37, room 023.
- MQE students can take this course as part of one of their fields (with an oral field examination).
- A. C. Cameron and P. K. Trivedi: Microeconometrics: Methods and Applications. New York: Cambridge University Press, 2005.
- A. C. Cameron and P. K. Trivedi: Microeconometrics Using Stata. College Station, TX: Stata Press, 2008.
- Additional readings (recent journal articles that use the methods discussed in the lecture) to be announced.