Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments for the Young and Privately Insured"

Amanda Kowalski

No 2045, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University

Abstract: I examine treatment effect heterogeneity within an experiment to inform external validity. The local average treatment effect (LATE) gives an average treatment effect for compliers. I bound and estimate average treatment effects for always takers and never takers by extending marginal treatment effect methods. I use these methods to separate selection from treatment effect heterogeneity, generalizing the comparison of OLS to LATE. Applying these methods to the Oregon Health Insurance Experiment, I find that the treatment effect of insurance on emergency room utilization decreases from always takers to compliers to never takers. Previous utilization explains a large share of the treatment effect heterogeneity. Extrapolations show that other expansions could increase or decrease utilization.

Keywords: Compliers; Dierence-in-dierence test; Sample local average treatment eect (SLATE); Marginal untreated outcome test; Massachusetts health reform; Program evaluation; Selection (search for similar items in EconPapers)
JEL-codes: C1 C9 H4 I13 (search for similar items in EconPapers)
Pages: 70 pages
Date: 2016-06
New Economics Papers: this item is included in nep-exp, nep-ger and nep-ias
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)

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