Experimental and Quasi-Experimental Method for Environmental Economic Topics
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DESCRIPTION: This course will provide an overview of quasi-experimental methods for causal inference in environmental and resource economics. Participants will learn the basics of econometric methods such as difference-in-differences, event studies, instrumental variables, regression discontinuity and matching. The training will focus on practical implementation in applied settings. In the second part, the course provides students with an overview of the experimental literature that addresses issues in environmental and natural resource economics and will prepare students to design and run their own economics experiments.
DATES: 09 - 17 December 2019
VENUE: TBA, Vietnam
RESOURCE PERSON: Assoc. Prof. Corbett Grainger - University of Wisconsin Madison (USA); Dr. James Murphy - University of Alaska Anchorage (USA).
HOW TO APPLY
Qualification
Applicants must have environmental economics and econometrics background and research experience. Applicants should be nationals of the following Southeast Asian countries: Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Thailand, and Vietnam. Priority will be given to individuals who are in a position to carry out research projects. Applicants must hold at least a Master degree in economics and working for a research institution or university in Southeast Asia.
Application requirements
- Detailed CV;
- A research idea (less than one page); and
- Letter of application indicating: Applicant’s experience in the conduct of environmental economics research and his/her knowledge of econometrics; where/how applicant intends to use what is learned from the course.
Send the abovementioned requirements to [email protected]; indicate “2019-EEP Training-Experimental Course” in the subject line
Grant coverage
The course participation of accepted applicants will be fully sponsored. The EEPSEA Partnership will cover the following: round-trip travel expense to Vietnam, accommodation, and meal allowance.
Deadline of application requirements: 20 October 2019
Notification of acceptance: on or before 28 October 2019
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