Prerequisite: AREC623; or permission of instructor. Additional information: Intended for second-year Ph.D. students from AREC, BUFN, ECON, EDMS, EDUC, PLCY and URSP with a background in econometrics comparable to that provided in AREC623.

This course delves into empirical strategies in applied micro research, assessing causal effects of policies or programs on outcomes. These methods are the contemporary toolkit for causal inference in academic areas like public policy, economics, education, and finance, as well as in industries and global organizations. Tailored to second-year Ph.D. students with a quantitative foundation akin to AREC623, the course prioritizes design-based identification using observational data. Modules, dedicated to specific strategies, rotate each academic year, covering regression, matching, instrumental variables, natural experiments, and more. The curriculum also addresses practical coding for real-world application.