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Using RD design to understand heterogeneity in health insurance crowd-out

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  • Koch, Thomas G.

Abstract

Crowd-out, the switching from private to public insurance, is often found, but estimates are rarely consistent with prior measurements. Cutler and Gruber (1996) found crowd-out in up to half of the newly eligible children, while Card and Shore-Sheppard (2004) found almost none. This paper exploits many regression discontinuity (RD) designs to estimate heterogeneous effects of public insurance eligibility. Crowd-out and its impact on spending and utilization is documented across the income spectrum, but effects are smaller at higher income levels. These differences vary by state and correspond to changes in the reimbursement rates of public insurance plans.

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  • Koch, Thomas G., 2013. "Using RD design to understand heterogeneity in health insurance crowd-out," Journal of Health Economics, Elsevier, vol. 32(3), pages 599-611.
    • Handle: RePEc:eee:jhecon:v:32:y:2013:i:3:p:599-611
    DOI: 10.1016/j.jhealeco.2013.03.002
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    References listed on IDEAS

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    Cited by:

    1. Sarah Hamersma & Matthew Kim & Brenden Timpe, 2019. "The Effect Of Parental Medicaid Expansions On Children'S Health Insurance Coverage," Contemporary Economic Policy, Western Economic Association International, vol. 37(2), pages 297-311, April.
    2. Thomas G. Koch, 2015. "All Internal in the Family?: Measuring Spillovers from Public Health Insurance," Journal of Human Resources, University of Wisconsin Press, vol. 50(4), pages 959-979.
    3. Thomas Buchmueller & John C. Ham & Lara D. Shore-Sheppard, 2015. "The Medicaid Program," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 1, pages 21-136, National Bureau of Economic Research, Inc.
    4. Zhuan Pei & Yi Shen, 2017. "The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 455-502, Emerald Group Publishing Limited.
    5. Takahide Yanagi, 2014. "The Effect of Measurement Error in the Sharp Regression Discontinuity Design," KIER Working Papers 910, Kyoto University, Institute of Economic Research.
    6. de la Mata, D, 2011. "The Effect of Medicaid on Children's Health: A Regression Discontinuity Approach," Health, Econometrics and Data Group (HEDG) Working Papers 11/16, HEDG, c/o Department of Economics, University of York.
    7. DiNardi, Michael, 2021. "Aging out of the federal dependent coverage mandate and purchases of prescription drugs with high rates of misuse," Economics & Human Biology, Elsevier, vol. 43(C).
    8. Thomas S. Conkling, 2018. "Crowd‐Out or Affordability? The Lifeline Expansion's Effect on Wireless Service Spending," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 37(2), pages 357-383, March.

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    More about this item

    Keywords

    Heterogeneous treatment effects; SCHIP; Medicaid; Crowd out;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H4 - Public Economics - - Publicly Provided Goods

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