Detailed information 
Prerequisites 
^{(*)}KS Einführung in die Volkswirtschaftslehre KS Daten und Forschungsdesigns in der Ökonomie
ODER Zulassung zum Masterstudium Wirtschaftsinformatik
ODER Zulassung zum Masterstudium Sozialwirtschaft

Original study plan 
Bachelor's programme Economics and Business 2021W 
Objectives 
Students understand multiple linear regression models, are aware of the strengths and weaknesses of these models, and can correctly interpret estimation coefficients from these models. They understand empirical economic papers and can assess the quality of such papers. They can perform simple empirical analyses and are familiar with causality theory.

Subject 
The focus of the course lies on econometric theory:
 Probability theory
 Linear Regression Model (OLS)
 Model specification
 Binary variables and linear probability models
 Sources and consequences of endogeneity
 Rubin causal model
 Basic regression analysis with time series data
 Basic regression analysis with panel data

Criteria for evaluation 
 Two short tests during the term
 Final exam at the end of term

Methods 
Lectures and discussion

Language 
English 
Study material 
 Wooldridge, Jeffrey M. (2013). Introductory Econometrics: A Modern Approach. 5th edition (or 4th edition, 2008), SouthWestern Cengage Learning.
 Further literature will be announced in the course. Slides are provied via Moodle.

Changing subject? 
No 
Further information 
 Students should have basic knowledge in statistics and econometrics (see, for example, Appendix AC and Chapters 12 in Wooldridge (2013)). The course (KS) “Daten und Forschungsdesign in der Ökonomie” equips students with this knowledge and is offered every winter term.
 The main target group are students enrolled in the Bachelor program Economics & Business. Students enrolled in other degree programs who are interested in empirical methods are most welcome.
 The focus of the course is on econometric theory; the focus of the accompanying intensifying course (IK) is on the application of the material learned in the course. Attending the intensifying course in the same semester as the course is highly recommended.
