Regression Discontinuity Designs

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Date(s) - 12/06/2019 - 12/07/2019
9:00 am - 5:00 pm

Temple University Center City

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Regression Discontinuity Designs, Taught by Dr. Rocío Titiunik
December 6-7, Philadelphia, Pennsylvania

This two-day seminar focuses on methods for the analysis and interpretation of Regression Discontinuity (RD) designs. It will cover both introductory concepts and recent methodological developments. The RD design is a non-experimental method that has high internal validity for estimating treatment effects. It relies on the assumption that near a predetermined cutoff, treated and control individuals would have had very similar outcomes in the absence of the treatment. Thus, one appealing feature of the RD design is that, if the required assumptions are met, it allows researchers to make internally valid causal inferences for those at the margin of switching from control to treatment assignment. The course will discuss different assumptions under which the change in treatment status at the cutoff can be used to study causal treatment effects on outcomes of interest. The focus will be on methodology and empirical practice, not on theoretical results. The statistical and econometric theory underlying the results will be discussed at a conceptual, non-technical level.


This Statistical Horizons seminar costs $995 to attend, which covers all of the seminar materials. Click here to learn more or to sign up.

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