“Sharp Instruments for Classifying Compliers and Generalizing Causal Effects,” Edward H. Kennedy, Carnegie Mellon University

Event time: 
Wednesday, October 31, 2018 - 12:00pm through 1:15pm
Institution for Social and Policy Studies (PROS77 ), A002
77 Prospect Street
New Haven, CT 06511
Edward H. Kennedy, Assistant Professor of Statistics and Data Science, Carnegie Mellon University
Event description: 


Abstract: It is well-known that, without restricting treatment effect heterogeneity, instrumental variable (IV) methods only identify “local” effects among compliers, i.e., those subjects who take treatment only when encouraged by the IV. Local effects are controversial since they seem to only apply to an unidentified subgroup; this has led many to denounce these effects as having little policy relevance. However, we show that such pessimism is not always warranted: it is possible in some cases to accurately predict who compliers are, and obtain tight bounds on more generalizable effects in identifiable subgroups. We propose methods for doing so and study their estimation error and asymptotic properties, showing that these tasks can in theory be accomplished even with very weak IVs. We go on to introduce a new measure of IV quality called “sharpness”, which reflects the variation in compliance explained by covariates, and captures how well one can identify compliers and obtain tight bounds on identifiable subgroup effects. We develop an estimator of sharpness, and show that it is asymptotically efficient under weak conditions. Finally we explore finite-sample properties via simulation, and apply the methods to study canvassing effects on voter turnout. We propose that sharpness should be presented alongside strength to assess IV quality.

Edward Kennedy is Assistant Professor of Statistics & Data Science at Carnegie Mellon University. His research interests include causal inference, missing data, functional estimation, machine learning, and general nonparametrics, especially in settings involving high dimensional and otherwise complex data. He is particularly interested in applications in criminal justice, health services, medicine, and public policy. More information and a full CV is available at: www.ehkennedy.com

This workshop series is being sponsored by the ISPS Center for the Study of American Politics and The Whitney and Betty MacMillan Center for International and Area Studies at Yale with support from the Edward J. and Dorothy Clarke Kempf Fund.

Open to: 
General Public