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Econometrics 2 (MASTER)

Goals

The course introduces the student to basic econometric models used in applied economic analysis. A formal treatment of the models is complemented with empirical applications in exercise classes. At the end of the course the student is prepared to study econometrics at an advanced masters level.

Syllabus

1. Classical regression model
2. Instrumental variables estimation
3. Robust estimation
4. Time-series models
5. Static Linear Panel Data Models with Fixed and Random Effects, Difference-in-difference estimation
6. Dynamic Linear Panel Data Models with Fixed Effects
7. Maximum Likelihood Estimation
8. Estimation of Count Data Models
9. Binary and Multinomial Choice Models
10. Estimation of models with Censored and Truncated Dependent Variables
11. Estimation of Treatment Effects

Contacts

Igor Masten

Office hours

Tuesday at 14:00

room RZ-205

Sašo Polanec

Office hours

Monday at 9:15

room P-219

Business portrait of Sašo Polanec in the green atrium of the School of Economics and Business on a sunny day in June 2024