Description:
Course objectives:
- Discuss advantages and limitations of structural econometric models. Give students an understanding of why and when adding structure is important.
- Provide insights into strategy (especially, identi cation) in important papers in structural Labour, Public & IO literature. Give a feel of how one may go about establishing a structural model.
- Establish basic estimation techniques & numerical methods such as Simulation, Numerical integration and Discretisation.
- Develop matrix programming skills using Matlab. Loops vs. vectorisation; readability vs. speed; sustainable coding for several projects.
Topics:
- Introduction to Structural Discrete Choice Modeling
- Static discrete choice in IO
- Dynamic discrete choice in IO
- Dynamic discrete choice in Labour
- Partial job search
- Equilibrium job search
Literature:
see syllabus
Lecturers:
Peter Haan, Luke Haywood, Boryana Ilieva, Hannes Ullrich
Time & venue:
Thursdays, 14:00-17:00 (starting on 28.04.2022); tba
Exam:
2 problem sets and a final exam
More information can be found in the syllabus.
