Quantitative Policy Analysis Specialization for DPP
This course aims to expand students' understanding of causal inference by building upon the concepts covered in Impact Evaluation with R. The focus will be on econometric techniques used for causal inference with both experimental and observational data. Students will use data and the statistical package R to implement the techniques taught in class and apply them to analyze their selected policy issues. The course will cover a range of topics, including matching, regression discontinuity, difference-in-differences, event-study designs (panel data), instrumental variables, and methods for correct statistical inference.
The course runs in the second part of the Winter term, Week 7 - 12.