Partially Identifying Treatment Effects with an Application to Covering the Uninsured

Brent Kreider () and Steven Hill

Staff General Research Papers Archive from Iowa State University, Department of Economics

Abstract: We extend the nonparametric literature on partially identified probability distributions and use our analytical results to provide sharp bounds on the impact of universal health insurance on provider visits and medical expenditures. Our approach accounts for uncertainty about the reliability of self-reported insurance status as well as uncertainty created by unknown counterfactuals. We construct health insurance validation data using detailed information from the Medical Expenditure Panel Survey. Imposing relatively weak nonparametric assumptions, we estimate that under universal coverage monthly per capita provider visits and expenditures would rise by less than 8% and 16%, respectively, across the nonelderly population.

Date: 2005-04-16
New Economics Papers: this item is included in nep-ecm and nep-ias
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Published in Journal of Human Resources, April 2009, vol. 44 no. 2, pp. 409-449

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Related works:
Journal Article: Partially Identifying Treatment Effects with an Application to Covering the Uninsured (2009)
Working Paper: Partially Identifying Treatment Effects with an Application to Covering the Uninsured (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:isu:genres:12296

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