Kurt Schmidheiny

Teaching

Universität Basel 2011 -

• Oekonometrie 2, Fall 2011
  (Bachelor)
• Econometrics, Spring 2011
  (Master)

Universitat Pompeu Fabra and Barcelona GSE 2006 -

• Statistics and Econometrics, Fall 2010
  (MSc Economics and MSc Finance)
• Empirical Methods for Applied Analysis, Fall 2010
  (MSc in International Trade, Finance, and Development)
• Economia Urbana, Fall 2010
  (Segon Cicle)
• Topics in Applied Economics I: Empirical Research Methods, Fall 2008
  (Graduate Programme in Economics, Finance and Management)

University of Ljubljana 2006, 2005, 2004

• Applied Econometrics for Graduate Students

University of Munich 2005

• CES lecture: Workshop on Discrete Choice Modeling

University of Lausanne 2003/2004

• Applied Econometrics II (Statistique et économetrieappliqueées II)

University of Bern 1999 - 2004

• "Teaching Economics with the Computer." Working paper presented at the11th Annual Conference on Computing in Economics and Finance 2005. Version October 21, 2005.

Lecture Notes in Microeconometrics (with Stata commands)

• OLS Regression: 1up, 2up, 1up (matrix-free), 2up (matrix-free)
• Functional Form in Regression Models: 1up, 2up, 1up (matrix-free), 2up (matrix-free)
• Heteroskedasticity in the Linear Model: 1up, 2up, 1up (matrix-free), 2up (matrix-free)
• Clustering in the Linear Model: 1up, 2up
• Instrumental Variables: 1up, 2up, 1up (matrix-free), 2up (matrix-free)
• Panel Data: 1up, 2up, 1up (matrix-free), 2up (matrix-free)
• Binary Response Models
  
• Limited Dependent Variable Models
  
• Multinomial Choice (Basic Models)
  
• Monte Carlo Experiments: 1up, 2up
• The Bootstrap: 1up, 2up

Guides to Statistical Software

• A Quick Guide to Stata: 1up, 2up
• Coding with Mata in Stata (New for Stata 10)
• A Quick Guide to Matlab
• A Quick Guide to Maple
• A Quick Guide to EViews