Information

• The course is usually offered in winter term.
• In addition to the lecture exercises are offered where mathematical problems of the lecture are discussed and solved. It is suggested that students prepare the tasks beforehand.
• Times of lectures and exercises can be found on KLIPS2.0.

Contents and objectives

The students will learn basic econometric methods in order to understand and conduct empirical economic studies. They will model economic cases through econometric means and can alter the model specifications. Parameters of linear and general regression models will be estimated through proper methods of inference for both, discrete and limited dependend variables. Students will conduct hypothesis tests and projections for economic variables. 

Contents of the Module are: 

• Linear Regression model and OLS 
• Generalized linear regression model with heteroscedastic and autocorrelated error terms including (F)GLS method
• Endogeneity and Instrument Variables
• Maximum-Likelihood Method
• Generalized Method of Moments (GMM)
• Models for discrete and limited dependend variables
• Uni- and multivariate time series models
• Panel Data