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This course covers structural estimation methods, with applications primarily in industrial organization, public, behavioral, and labor economics. It is open to any interested students, particularly PhD students who wish to develop their econometric toolbox and use structural estimation in their work.
Course schedule (lectures):
1) Toolbox/review: simulation methods, SML, SMM, indirect inference
2) Estimation of structural models using experimental data from the lab and the field (Lecturer: Erik Wengström)
3) Estimation of structural models using experimental data from the lab and the field (Lecturer: Erik Wengström)
4) Static vs. dynamic considerations: review of value functions/ Bellman equations etc.
5) Heterogeneity and the EM algorithm
6) Full solution approaches to solving dynamic structural models.
7) Full solution approaches: examples
8) Conditional choice probability theory
9) Conditional choice probability theory (continued)
10) Conditional choice probability examples
11) Conditional choice probability examples: Dynamic games and extensions
12) Student presentations (may extend to scheduled exam time)
- Schedule: can be found in Sisu
- Study materials: can be found in MyCourses
- To access the course workspace, use all the features and participate in the activities (assignments, discussions), you must have successfully registered for the course in Aalto's Sisu and logged in as an Aalto user with your Aalto IT account (which is generated after you have been granted study rights).
- Workspaces for some courses are open access, but please note the above.
- For more tips on how to register for a MyCourses course area, click here.
Aalto University Students
- Code: ECON-L6210
- Target groups: PhD / rMSc
- Credit points: 5
University of Helsinki Students
FDPE Students Students
- Target groups: PhD
- Credit points: please check your curriculum
- Credit transfer: please apply for credit transfer according to your home university's procedures
- Further instructions can be found here.
After completing this course, students will develop an understanding of the identification of structural econometric models in relation to economic and econometric theory. Students will also learn the theory and estimation strategies behind dynamic discrete choice models.