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- Code:
- 31E00910
- Field:
- Econometrics
- Targets:
- Master’s students Research Master's students PhD students
- Organiser:
- Aalto University
- Instructor:
- Stefano Lombardi
- Period:
- Period 1
- Format:
- Lecture
- Method:
- Contact teaching
- Venue:
- Otaniemi campus
- Enrollment:
In case of conflicting information consider the Sisu/MyCourses pages the primary source of information.
Content
The course covers identification based on observables, randomized control trials, difference-in-differences, instrumental variables and regression discontinuity design. The students will also use an econometric software in the analysis of data and estimations.
Teaching
- Completion method: contact teaching
- 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.
Please register for the course in the Aalto Sisu with your Aalto username. Further instructions (link to be added here later).
University-specific instructions
Aalto University Students
Code: 31E00910
Target groups: MSc / rMSc / PhD
Credit points: 6
Hanken Students
- Code: 26006
- can be also used to substitute the mandadatory course 26031 Applied Empirical methods in economics
- Target groups: MSc / rMSc / PhD
- Credit points: 6
- Credit transfer: apply for substitution in Sisu
University of Helsinki Students
Code: ECOM-413 (MSc) / DPE-9413 (PhD)
Target groups: MSc / rMSc / PhD
Credit points: 6
Credit transfer: apply for substitution in Sisu
FDPE Students Students
Please contact your supervisor/program director to be sure that the course credit can be counted towards your degree
Credit transfer: please apply for credit transfer according to your home university's procedures
Learning outcomes
The students learn the most common microeconometric methods typically used in applied research. Students also learn how to analyze critically estimation strategies and how to interpret empirical results. The course is especially suitable for students who want to use econometric methods in their master s thesis.