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Doing more when you're running LATE: Applying marginal treatment effect methods to examine treatment effect heterogeneity in experiments

Amanda Kowalski

Artefactual Field Experiments from The Field Experiments Website

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.

Date: 2016
New Economics Papers: this item is included in nep-exp
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Citations: View citations in EconPapers (65)

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Working Paper: Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:feb:artefa:00560

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