Quasi-Experimental Research Design & Analysis (SOC 258B)
Huffaker, E. (TA)
Dee, T. (PI)
This course surveys quantitative methods to make causal inferences in the absence of randomized experiment including the use of natural and quasi-experiments, instrumental variables, regression discontinuity, fixed effects estimators, and difference-in-differences. We emphasize the proper interpretation of these research designs and critical engagement with their key assumptions for applied researchers. Prerequisites: Prior training in multivariate regression (e.g., ECON 102B or the permission of the instructor).
Computational Policy - Gateway
Computational Policy Analysis