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- Code:
- ECON-EV001
- Field:
- Econometrics
- Targets:
- Research Master's students PhD students
- Organiser:
- Aalto University
- Instructor:
- Arnaud Maurel (Duke University)
- Period:
- Period 5
- Format:
- Lecture
- Method:
- Contact teaching
- Venue:
- Otakaari 1, Espoo
- Enrollment:
In case of conflicting information consider the Sisu/MyCourses pages the primary source of information.
Hanken and UH economics students can enroll in their home university’s SISU! Further instructions can be found on the How to enroll? page, also for other students.
Before taking and completing the course make sure that the credits can be counted towards your degree at your home university by checking which courses are included in your curriculum or by contacting your home university’s student/learning services.
- Link to the MyCourses learning environment will be added here later.
- 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 Sisu and logged in with your Aalto user ID.
- For more information on how to activate your Aalto user ID and register for a MyCourses course area, click here.
Schedule
Starts | Ends | Type | Location | Link | |
---|---|---|---|---|---|
Lecture | Otakaari 1, M240 | Not set | |||
Lecture | Otakaari 1, M240 | Not set | |||
Lecture | Otakaari 1, Y229a | Not set |
Content
Introduction and Identification of treatment effects; Treatment effect heterogeneity and MTE; Treatment effects and generalized Roy model; Distributional treatment effects and factor models.
Learning outcomes
This short course will cover several topics on the econometrics of treatment effects. The main emphasis will be on the economic interpretation and identification of various treatment effect parameters, using the Marginal Treatment Effect as a building block for other types of treatment effect parameters. We will pay special attention to the underlying identifying assumptions, which will be analyzed from a statistical and behavioral viewpoint. We will also examine methods allowing to pin down the distribution of treatment effects and discuss the use of factor models in this context as well in the broader context of measurement error models.