Solving environmental problems with data (5 cr)

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, Hanken and UH economics students can enroll through their home university’s SISU. Further instructions are available on the How to enroll? page, also for students from other universities.

If you would like to count the credits towards your degree, please check your curriculum or contact your supervisor or student services for guidance.

  • To access the Moodle course area, 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 UH user ID.
  • For more information on how to activate your UH user ID and register for a Moodle course area, click here.

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.

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.