Quasi-Experimental Research Design & Analysis (SOC 258B)

EDUC
430B
Instructors
Huffaker, E. (TA)
Dee, T. (PI)
Section Number
1
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).
Grading
Letter (ABCD/NP)
Units
3-5
Graduate
Course Tags
Computational Policy - Gateway
Computational Policy Analysis
Academic Year
Quarter
Winter
Section Days
Monday Wednesday
Start Time
1:30 PM
End Time
3:00 PM
Location
Ceras 101