This course will review popular experimental and quasi-experimental techniques for impact evaluation and will discuss multiple applications in the recent economic literature. The techniques discussed will include randomized controlled trials, propensity score matching, differences-in-differences, changes-in-changes, and regression discontinuity designs. Special emphasis will be placed on the rationale and implementation of the methods and interpretation of the results using different examples and applications from recent published journal articles. Overall, the course aims to help participants understand different impact evaluation techniques through their application in real-world situations. The course level is appropriate for participants with a background in economics or related fields, statistics, mathematics, and/or public policy. A strong background in quantitative analysis is preferable as well as familiarity reading scientific articles in economic journals.