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Health status and heterogeneity of cost-sharing responsiveness: how do sick people respond to cost-sharing?

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  • Dahlia K. Remler

    (Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York City, New York, USA)

  • Adam J. Atherly

    (Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA)

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    Abstract

    This paper examines whether the responsiveness of health care utilization to cost-sharing varies by health status and the implications of such heterogeneity. First, we show theoretically that if health care utilization of those in poor health is less responsive to cost sharing, this, combined with the skewness of health expenditures in health status, leads to overestimates of the effect of cost sharing. This bias is exacerbated when elasticities are generalized to populations with greater expenditure skewness. Second, we show empirically that cost-sharing responsiveness does differ by health status using data from the Medicare Current Beneficiary Survey. Medicare beneficiaries are stratified into health status groups based on activity of daily living (ADL) impairments and self-reported health status. Separately, for each of the health status groups, we estimate the effect of Medigap insurance on Part B utilization using a two-part expenditure model. We find that the change in expenditures associated with Medigap is smaller for those in poorer health. For example, when stratified using ADLs, Medigap insurance increases expenditures for 'healthy' groups by 36.4%, while the increase for the 'sick' group is 12.7%. Results are qualitatively the same for different forms of supplemental insurance and different methods of health status stratification. We develop a test to demonstrate that adjusting our results for selection bias would result in estimates of greater heterogeneity. Our results imply that a lowerbound estimate of the bias from neglecting heterogeneity is about 2-7%. Copyright © 2002 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/hec.725
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 12 (2003)
    Issue (Month): 4 ()
    Pages: 269-280

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    Handle: RePEc:wly:hlthec:v:12:y:2003:i:4:p:269-280

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    1. Martin Feldstein & Jonathan Gruber, 1995. "A Major Risk Approach to Health Insurance Reform," NBER Chapters, National Bureau of Economic Research, Inc, in: Tax Policy and the Economy, Volume 9, pages 103-130 National Bureau of Economic Research, Inc.
    2. Zabinski, Daniel & Selden, Thomas M. & Moeller, John F. & Banthin, Jessica S., 1999. "Medical savings accounts: microsimulation results from a model with adverse selection," Journal of Health Economics, Elsevier, Elsevier, vol. 18(2), pages 195-218, April.
    3. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 1(2), pages 115-26, April.
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    Cited by:
    1. Denise Doiron & Denzil G Fiebig & Agne Suziedelyte, 2013. "Hips and hearts: the variation in incentive effects of insurance across hospital procedures," Discussion Papers, School of Economics, The University of New South Wales 2013-14, School of Economics, The University of New South Wales.

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