Description: Abstract: Understanding causation with observational data is often more dependent on what we don’t observe than what we do observe. Multivariate techniques can be very useful for understanding observed characteristics. Propensity scores have emerged over the past 20 years as another way to control for observables. The presenter will describe the concepts behind propensity scores and how they have been used (and misused) in practice. Finally, the presenter will work through an example using propensity scores.
Target Audience: Anyone is welcome. The seminar will cover concepts that recur throughout the HERC Econometrics Cyberseminar. Some experience with statistics is helpful, but not required.