Causal Inference In Policy Evaluation

AY2021/2022 Semester 2

You will learn various empirical methods for policy evaluation to measure the causal effects of policies. This include regression, matching based on observables, difference-in-difference, instrumental variable, regression discontinuity design. You will work with real world data and replicate policy evaluations using these methods using STATA (statistical software). Finally, you will also learn how to conduct spatial analysis, learning how to collect and extract data across space, and create maps. This course will prepare you how to manage data, conduct statistical analysis, interpret results and present research findings in a rigorous manner. This course will also be useful for equipping you with relevant skillsets for their final year project.