This course introduces techniques for drawing causal inferences from quantitative data in the social sciences. We discuss the role of strong research design and compare and contrast design- and model-based strategies. The course introduces instrumental variables, regression-discontinuity designs, difference-in-differences, and path models and mediation analysis, and it extends analysis of topics introduced in 231a, including regression diagnostics. We consider the value of multi-method research, as well as concerns about data mining and multiple hypothesis testing. The course makes central use of bootstrap simulations and programming in R, using data from published studies. The interpretation and validation of modeling assumptions constitutes a central focus.
Discussion sections held Fridays 9:30-11:30am in SOCS791.
POL SCI 231A or equivalent.