Events

2017 Main Causal Inference Workshop

Research design for causal inference is at the heart of a “credibility revolution” in empirical research.  We will cover the design of true randomized experiments and contrast them to natural or quasi experiments and to pure observational studies, where part of the sample is treated in some way, the remainder is a control group, but the researcher controls neither the assignment of cases to treatment and control groups nor administration of the treatment.  We will assess the causal inferences one can draw from a research design, threats to valid inference, and research designs that can mitigate those threats.

The workshop is hosted by Professor Bernie Black.