KS Ökonometrie II, Winter 2009/10
Dr. René Böheim

The course's goal is to provide students an understanding of advanced econometric models and to enable them to deal with empircal work in a critical manner. The methods taught will provide students with a clear idea on how to undertake their own empirical projects (e.g., diploma thesis) and a benchmark on how to critically asses empirical research. The course examines econometric models and discusses in detail issues of specification, identification and estimation. Emphasis is placed on a careful interpretation of empirical results and on the derivation of causal relationships. The EK's focus is on econometric theory and applications are being taught in the accompanying IK.

This course builds on the courses Empirische Wirtschaftsforschung and Econometrics I (before Winter 2009, these were known as "Ökonometrische Modelle" ("Econometric Models")). In particular, students should be familiar with basic probability theory, mathematical statistics, and multivariate regression analysis (OLS). These topics are covered, e.g., in the Appendix A-C and chapters 2-8 in Wooldridge (2nd edition), Introductory Econometrics (2003). See this page for a detailed description of the teaching of econometrics at the department.

TIMETABLE

Master copies of the additional literature are available from the secretaries' office, Ms Meister or Mr Reitberger, room K149D.

GRADING

• Participation in class: 10%
• Problem sets: 20%
  • First set, due: tba
  • Second set, due: tba
• Midterm test: 30%
• Final exam: 40%

FINAL GRADES

Final Grades