Causal Inference for Policy and Education Research

3 credits · Undergraduate

This course introduces concepts and tools for the quantitative social scientific study of policies and practices, with a focus on education, health, and social services. The course introduces concepts using the “potential outcomes” framework for causal inference, and is divided into four sets of topics. It introduces potential outcomes framework, directed acyclic graphs, regressions, propensity score matching/ stratification, fixed effects, instrumental variable, regression discontinuity design, difference-in-differences, heterogeneous treatment effects, causal mediation analysis, & critical quantitative methods.