{"c_title":"[M3206.000200] Experimental and Quasi-experimental Policy Evaluation","c_info":"3 credits | Lecture\/Seminar | Master | Dept. of Environmental Planning","c_summary":"Proving causality is the essential component of research with scientific rigor. Even in social sciences, various experimental and quasi-experimental policy evaluation methods to analyze causal effects of a specific project, program, and policy have been actively introduced. This course examines the theoretical framework for causal inference and introduces impact evaluation methods such as randomized controlled trials, instrumental variable, difference-in-differences, panel fixed effects and regression discontinuity design which effectively overcome the limitations of correlation analysis. The replication practices of the previous impact evaluation research with a statistical software package aim to improve practical understanding of impact evaluation methods and to introduce the basic methodological knowledge to students who are interested in evaluating the impact of urban and social innovation programs\/policies."}