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Instructors: Prof. Dr. rer. pol. Jens Krüger
Event type:
Lecture
Org-unit: Dept. 01 - Law and Economics
Displayed in timetable as:
vl_Meth. emp. WF
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
German and English
Min. | Max. participants:
- | -
Course Contents:
- advanced linear regression
- maximum likelihood estimation
- nonlinear regression
- instrumental variables
- method of moments
- nonparametric regression
Literature:
Davidson, R., MacKinnon, J.G.: Econometric Theory and Methods
Preconditions:
Statistik
Empirische Wirtschaftsforschung
Operations Research
Further Grading Information:
After the courses the students are able to
- understand the deeper properties of linear regression estimates.
- understand and apply the maximum likelihood principle.
- estimate and evaluate nonlinear regressions.
- conduct instrumental variables, method of moments and nonparametric estimations.
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