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- Code:
- AGERE-E11
- Field:
- Environmental Economics
- Targets:
- Master’s students Research Master's students PhD students
- Organiser:
- University of Helsinki - Environmental Economics
- Instructor:
- Lassi Ahlvik
- Period:
- Period 4
- Format:
- Lecture
- Method:
- Contact teaching
- Venue:
- Viikki campus
- Enrollment:
In case of conflicting information consider the Sisu/Course/Moodle pages the primary source of information.
Aalto and Hanken 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.
Content
Most common methods for causal identification, including randomized controlled trials (RCTs), instrument variable analysis, panel data and difference-in-differences and regression discontinuity designs. The course will have both lectures and Stata lab sessions.
Learning outcomes
After finishing this course the students will have a sound knowledge on different methods for causal analysis and understnd how empirical methods can be used for analyzing drivers of and solutions to environmental problems. Students will be equipped with the skills necessary to understand and to apply methods of causal analysis to actual observational and experimental data, formulate research questions and have the skills to write do-flies and run relevant commands to produce tables and figures in R or Stata. After the course students will be able to use causal analysis methods in their master's thesis or in future professional careers.