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 exercise sessions start on March, 9 at 9.15am.

The course is planned entirely in presence. Changes are possible due to the current COVID situation.

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

• 1: > 85%
• 2: > 72%
• 3: > 61%
• 4: > 50%

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