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The Impact of Insurance and HIV Treatment Technology on HIV Testing

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  • Neeraj Sood
  • Yanyu Wu

Abstract

This paper investigates the effects of health insurance and new antiviral treatments on HIV testing rates among the U.S. general population using nationally representative data from the Behavioral Risk Factor Surveillance Survey (BRFSS) for the years 1993 to 2002. We estimate recursive bivariate probit models with insurance coverage and HIV testing as the dependent variables. We use changes in Medicaid eligibility and distribution of firm size over time within a state as instruments for insurance coverage. The results suggest that (a) insurance coverage increases HIV testing rates, (b) insurance coverage increases HIV testing rates more among the high risk population, and (c) the advent of Highly Active Antiretroviral Therapy (HAART) increases the effects of insurance coverage on HIV testing for high risk populations.

Suggested Citation

  • Neeraj Sood & Yanyu Wu, 2013. "The Impact of Insurance and HIV Treatment Technology on HIV Testing," NBER Working Papers 19397, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19397
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    References listed on IDEAS

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    1. Shore-Sheppard, Lara & Buchmueller, Thomas C. & Jensen, Gail A., 2000. "Medicaid and crowding out of private insurance: a re-examination using firm level data," Journal of Health Economics, Elsevier, vol. 19(1), pages 61-91, January.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Bhattacharya, Jayanta & Goldman, Dana & Sood, Neeraj, 2003. "The link between public and private insurance and HIV-related mortality," Journal of Health Economics, Elsevier, vol. 22(6), pages 1105-1122, November.
    4. Tomas J. Philipson & Richard A. Posner, 1995. "A Theoretical and Empirical Investigation of the Effects of Public Health Subsidies for STD Testing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 445-474.
    5. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, April.
    6. Jay Bhattacharya & M. Kate Bundorf & Noemi Pace & Neeraj Sood, 2011. "Does Health Insurance Make You Fat?," NBER Chapters, in: Economic Aspects of Obesity, pages 35-64, National Bureau of Economic Research, Inc.
    7. Darius Lakdawalla & Neeraj Sood & Dana Goldman, 2006. "HIV Breakthroughs and Risky Sexual Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1063-1102.
    8. Weinhardt, L.S. & Carey, M.P. & Johnson, B.T. & Bickham, N.L., 1999. "Effects of HIV counseling and testing on sexual risk behavior: A meta- analytic review of published research, 1985-1997," American Journal of Public Health, American Public Health Association, vol. 89(9), pages 1397-1405.
    9. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    10. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
    11. David Card & Carlos Dobkin & Nicole Maestas, 2009. "Does Medicare Save Lives?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 597-636.
    12. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    13. Michael A. Boozer & Tomas J. Philipson, 2000. "The Impact of Public Testing for Human Immunodeficiency Virus," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 419-446.
    14. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
    15. Gruber, Jonathan & Simon, Kosali, 2008. "Crowd-out 10 years later: Have recent public insurance expansions crowded out private health insurance?," Journal of Health Economics, Elsevier, vol. 27(2), pages 201-217, March.
    16. Ham, John C. & Ozbeklik, Serkan & Shore-Sheppard, Lara, 2011. "Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions," IZA Discussion Papers 5779, Institute of Labor Economics (IZA).
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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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