This course is an extension of the basic course "Statistics II". Building on the introductory econometric concepts of the latter, "Applied Econometrics" deals with econometric methods and their practical application in the presence of particular problems such as:
- nonlinear models
- heteroscedasticity (non-constant variances of the residuals)
- non-random sampling
- measurement errors in variables
- omitted variables and endogeneity
- time constant omitted variables (“fixed effects”) in panel data
As practical illustration and for further intuition, the contents of the lecture are applied to real data in 4 PC lab sessions using the statistical software “R”. A short introduction to “R” is provided in the first PC lab.
- Enseignant·e: Martin Huber
- Enseignant·e: Sarina Joy Oberhänsli
- Enseignant·e: Andreas Stoller
- Enseignant·e: Anthony Strittmatter