After successful completion of the course, students are able to

• explain the maximum likelihood method and the asymptotic properties of ML estimates,
• explain models for micro data and to chose suitable models for given data and problem settings,
• compute (ML) estimates and to analyse and to interpret the results.

Exercise sessions for the lecture course Microeconometrics.

Exercise sessions.

The completed problems have to be marked in TUWEL. Grade distribution:

• 1: > 80%
• 2: > 70%
• 3: > 60%
• 4: > 50%

Basic knowledge of linear algebra, probability theory and statistics as well as basic econometrics (linear regression models).