Department Seminar by Gary Chan, University of WashingtonExport this event to calendar

Thursday, September 21, 2017 — 4:00 PM EDT

Empirical balancing scores and balancing weights


Propensity scores have been central to causal inference and are often used as balancing scores or balancing weights. Estimated propensity scores, however, may exhibit undesirable finite-sample performance. We take a step back to understand what properties of balancing scores and weights are desirable. For balancing scores, the dimension reduction aspect is important; whereas for balancing weights, a conditional moment balancing property is crucial. Based on these considerations, a joint sufficient dimension reduction framework is proposed for balancing scores, and a covariate functional balancing framework is proposed for balancing weights. 

Location 
M3 - Mathematics 3
Room 3127
200 University Avenue West
Waterloo, ON N2L 3G1
Canada

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