Evaluating the impacts of welfare reform?
Statistical Modeling, Causal Inference, and Social Science 2013-03-15
Summary:
John Pugliese writes: I was recently in a conversation with some colleagues regarding the evaluation of recent welfare reform in California. The discussion centered around what types of design might allow us to understand the impact the changes. Experimental designs were out, as random assignment is not feasible. Our data is pre/post, and some of [...]