PUBPOL 5750
Causal Analysis and Impact Evaluation in Public Policy
Second semester of a two-semester sequence in applied statistics for Public Policy. Review of key material (regression analysis, and statistical inference for regression). Advanced topics in regression analysis such as: interaction terms, log transformations, binary independent and dependent variables. Introduction to research design for causal analysis, including: experiments, Differences-in-Differences, and Regression Discontinuity.
Topics
- Correctly interpret results from linear regressions.
- Run and correctly interpret regression models using interactions, data transformations, and binary variables as both independent and dependent variables.
- Describe and diagnose ways that regression analysis can break down (violations of model assumptions).
- Correctly use causal research designs to identify and estimate causal effects of policy interventions.
Official roster learning outcomes
Prerequisites & course information
PUBPOL 5310.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Causal Analysis and Impact Evaluation in Public Policy · 3.0 · Graduate