VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Policy Impact Analysis
Last Updated: 2026-06-03 00:07:35
Abstract
This course introduces students to key methods for quantitative policy impact analysis and covers the different stages of the process. Acquired skills are applied on a real project from a development organization. Students also learn how to perform simple statistical analyses with the statistical Software R.
Objective
Students - know strategies to test causal hypotheses using experimental methods and regression analysis. - are able to formulate and implement a research design for a particular policy question and a particular type of data. - are able to critically read and assess published studies on policy evaluation. - are able to use the statistical software R for simple data analysis. - can apply all the steps involved in a policy impact evaluation.
Content
Policy impact evaluation employs a wide variety of research methods, such as statistical analysis of secondary data, surveys or laboratory and field experiments. The course will begin with an overview of the various methodological approaches, including their advantages and disadvantages and the conditions under which their use is appropriate. It will continue with a discussion of the different stages of a policy impact evaluation, including hypothesis generation, formulating a research design, measurement, sampling, data collection and data analysis. For data analysis, linear regression models will be revised, with a focus on difference-in-difference methods and randomized controlled trials used for policy evaluation. Students, who already have a solid background in these methods can skip these sessions. Throuhgout the course, students will work on the design of a policy impact evaluation for a real-world project.
General Information
- Language
- English
- Levels
- MSC , WBZ , NDS
- Frequency
- Every two years
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 24
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Policy Impact Analysis
Room: CLD A1
|
No time listed | 4 h weekly |
Offered In
-
-
MAS in Global Cooperation and Sustainable Development (The compulsory courses of NADEL are accessible only for students of the MAS in Global Cooperation and Sustainable Development and for qualified employees with at least two years experience in development cooperation and a Master's level or equivalent level of education as recognized by ETH. PhD students doing empirical research in development cooperation may be admitted "sur Dossier". The elective courses are open to master students of the ETH with registration/ waiting list. MAS students do have priority.)
-