Microeconometrics (MSc & PhD)

Course Description and Outline

The purpose of this course is to provide students with a through understanding of econometric techniques frequently used in applied microeconomic research. The course consists of both theoretical and empirical aspects. The theoretical part of the course will be complemented with the discussion of related empirical papers. The course also offers students an opportunity to implement econometric techniques learned in class in an applied research context using standard softwares. Topics include

I   Binary Response Models

II  Generalized Linear Models

III Limited Dependent Variable Models

IV  Sample Selection Issues

V   Models for Counts

VI  Evaluation Econometrics

Prerequisites

Econometrics I (required)

Applied Econometrics (desirable)

Advanced Econometrics (desirable)

Introductory Literature

Econometric Analysis of Cross Section and Panel Data, J. W. Wooldridge, MIT Press, 2002.

Econometric Analysis, W. H. Greene, 5th edition, Prentice Hall, 2003.

Microeconometric Evaluation of Labour Market Policies,  M. Caliendo, Springer, 2007.

Microeconometrics: Methods and Applications, C. Colin and P. Trivedi, Cambridge University Press, 2005.

Microeconometrics using stata, C. Colin and P. Trivedi, Stata Press, 2010.

Microeconometrics and matlab, A. Adams, D. Clarke and S. Quinn, Oxford University Press, 2015.

Mostly Harmless Econometrics: An Empiricist's Companion, J.D. Angrist and J. Pischke, Princeton University Press, 2009.

Nonparametric Econometrics: Theory and Practice, Q. Li and J. S. Racine, Princeton University Press, 2006.

Regression for Categorial Data, G. Tutz, Cambridge University Press, 2012.

Grading

The course (10 ECTS) grade is based on:

  • 20% First Take-Home
  • 20% Second Take-Home
  • 60% Final Exam

Time Schedule Microeconometrics Summer Term 2017.

All course materials are provided via ILIAS.