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Racial Differences In Health‐Care Utilization: Analysis By Intensity Of Demand

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  • XIAOYONG ZHENG
  • DAVID M. ZIMMER

Abstract

Health‐care utilization is estimated for different subpopulations with respect to various measures of health status, which allows the classification of health‐care consumers into groups with different intensities of demand. This specification allows us to determine whether racial differences vary between subgroups of consumers. In addition to blacks, we also consider utilization by Hispanics. The model is estimated separately for five measures of utilization: office‐based physician visits, office‐based nonphysician visits, outpatient department visits, emergency room visits, and hospital discharges using data from the Medical Expenditure Panel Survey. Results across numerous specifications indicate that racial differences remain a serious public policy concern, both among healthy and unhealthy minorities. (JEL I11, I12)

Suggested Citation

  • Xiaoyong Zheng & David M. Zimmer, 2009. "Racial Differences In Health‐Care Utilization: Analysis By Intensity Of Demand," Contemporary Economic Policy, Western Economic Association International, vol. 27(4), pages 475-490, October.
    • Handle: RePEc:bla:coecpo:v:27:y:2009:i:4:p:475-490
    DOI: 10.1111/j.1465-7287.2009.00151.x
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    1. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    2. Janet Currie & Duncan Thomas, 1995. "Medical Care for Children: Public Insurance, Private Insurance, and Racial Differences in Utilization," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 135-162.
    3. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    4. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 85-106.
    5. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    6. Balsa, Ana I. & McGuire, Thomas G., 2001. "Statistical discrimination in health care," Journal of Health Economics, Elsevier, vol. 20(6), pages 881-907, November.
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    Cited by:

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    2. Yuriy Pylypchuk & James B. Kirby, 2017. "The role of marriage in explaining racial and ethnic disparities in access to health care for men in the US," Review of Economics of the Household, Springer, vol. 15(3), pages 807-832, September.
    3. Örn B. Bodvarsson & Brad R. Humphreys, 2013. "Labor Market Discrimination And Capital: The Effects Of Fan Discrimination On Stadium And Arena Construction," Contemporary Economic Policy, Western Economic Association International, vol. 31(3), pages 604-617, July.

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    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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