(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/jhecon/v22y2003i6p1105-1122.html
   My bibliography  Save this article

The link between public and private insurance and HIV-related mortality

Author

Listed:
  • Bhattacharya, Jayanta
  • Goldman, Dana
  • Sood, Neeraj
Abstract
As policymakers consider expanding insurance coverage for HIV+ individuals, it is useful to ask if insurance has any affect on health outcomes; and, if so, whether public insurance is as efficacious as private insurance in preventing premature deaths among HIV+ patients. Using data from a nationally representative cohort of HIV-infected persons receiving regular medical care, we estimate the impact of different types of insurance on mortality in this population. We find that ignoring observed and unobserved health status leads one to conclude (misleadingly) that insurance may not be protective for HIV patients. After accounting for observed and unobserved heterogeneity, insurance does protect against premature death, but private insurance is more effective than public coverage. The better outcomes associated with private insurance are attributable to the more restrictive prescription drug policies of Medicaid.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jhecon:v:22:y:2003:i:6:p:1105-1122
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-6296(03)00074-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
    2. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    3. Kate Bundorf, M., 2002. "Employee demand for health insurance and employer health plan choices," Journal of Health Economics, Elsevier, vol. 21(1), pages 65-88, January.
    4. Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-976, July.
    5. David M. Cutler & Jonathan Gruber, 1996. "Does Public Insurance Crowd out Private Insurance?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 391-430.
    6. Goldman D. P. & Bhattacharya J. & McCaffrey D. F. & Duan N. & Leibowitz A. A. & Joyce G. F. & Morton S. C., 2001. "Effect of Insurance on Mortality in an HIV-Positive Population in Care," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 883-894, September.
    7. Cutler, David M, 1995. "The Incidence of Adverse Medical Outcomes under Prospective Payment," Econometrica, Econometric Society, vol. 63(1), pages 29-50, January.
    8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    9. Dana P. Goldman, 1995. "Managed Care as a Public Cost-Containment Mechanism," RAND Journal of Economics, The RAND Corporation, vol. 26(2), pages 277-295, Summer.
    10. Nyman, John A., 1999. "The value of health insurance: the access motive," Journal of Health Economics, Elsevier, vol. 18(2), pages 141-152, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Duggan Mark G & Evans William N, 2008. "Estimating the Impact of Medical Innovation: A Case Study of HIV Antiretroviral Treatments," Forum for Health Economics & Policy, De Gruyter, vol. 11(2), pages 1-39, January.
    2. Jay Pan & Xiaoyan Lei & Gordon G. Liu, 2016. "Health Insurance and Health Status: Exploring the Causal Effect from a Policy Intervention," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1389-1402, November.
    3. Dana P. Goldman & Benjamin G. Cohen & Jessica Y. Ho & Daniel L. McFadden & Martha S. Ryan & Bryan Tysinger, 2021. "Improved survival for individuals with common chronic conditions in the Medicare population," Health Economics, John Wiley & Sons, Ltd., vol. 30(S1), pages 80-91, November.
    4. Qin, Xuezheng & Pan, Jay & Liu, Gordon G., 2014. "Does participating in health insurance benefit the migrant workers in China? An empirical investigation," China Economic Review, Elsevier, vol. 30(C), pages 263-278.
    5. Dana Goldman & Nicole Maestas, 2013. "Medical Expenditure Risk And Household Portfolio Choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 527-550, June.
    6. Neeraj Sood & Zachary Wagner & Yanyu Wu, 2015. "The Impact of Insurance on HIV Testing," American Journal of Health Economics, MIT Press, vol. 1(4), pages 515-536, Fall.
    7. Lawrence P.O. Were & Joseph W Hogan & Omar Galárraga & Richard Wamai, 2020. "Predictors of Health Insurance Enrollment among HIV Positive Pregnant Women in Kenya: Potential for Adverse Selection and Implications for HIV Treatment and Prevention," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    8. Dana Goldman & Nicole Maestas, 2013. "Medical Expenditure Risk And Household Portfolio Choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 527-550, June.
    9. Yingying Meng & Junqiang Han & Siqi Qin, 2018. "The Impact of Health Insurance Policy on the Health of the Senior Floating Population—Evidence from China," IJERPH, MDPI, vol. 15(10), pages 1-17, October.
    10. Kelaher, Margaret & Jessop, Dorothy Jones, 2006. "The impact of loss of Medicaid on health service utilization among persons with HIV/AIDS in New York City," Health Policy, Elsevier, vol. 76(1), pages 80-92, March.
    11. Glied, Sherry & Hong, Kai, 2018. "Health care in a multi-payer system: Spillovers of health care service demand among adults under 65 on utilization and outcomes in medicare," Journal of Health Economics, Elsevier, vol. 60(C), pages 165-176.
    12. Philipson Tomas J & Jena Anupam B, 2006. "Who Benefits from New Medical Technologies? Estimates of Consumer and Producer Surpluses for HIV/AIDS Drugs," Forum for Health Economics & Policy, De Gruyter, vol. 9(2), pages 1-33, January.
    13. PAN, Jay & QIN, Xuezheng & LIU, Gordon G., 2013. "The impact of body size on urban employment: Evidence from China," China Economic Review, Elsevier, vol. 27(C), pages 249-263.
    14. 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.
    15. Adeline Delavande & Dana Goldman & Neeraj Sood, 2010. "Criminal Prosecution and Human Immunodeficiency Virus-Related Risky Behavior," Journal of Law and Economics, University of Chicago Press, vol. 53(4), pages 741-782.
    16. Chad D. Meyerhoefer & Yuriy Pylypchuk, 2008. "Does Participation in the Food Stamp Program Increase the Prevalence of Obesity and Health Care Spending?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 287-305.
    17. Thomas A. Mroz & Gabriel Picone & Frank Sloan & Arseniy P. Yashkin, 2016. "Screening For A Chronic Disease: A Multiple Stage Duration Model With Partial Observability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(3), pages 915-934, August.
    18. Xiao Hu & Zhengjie Wang & Jun Liu, 2022. "The impact of digital finance on household insurance purchases: evidence from micro data in China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 538-568, July.
    19. Huh, Jason & Reif, Julian, 2017. "Did Medicare Part D reduce mortality?," Journal of Health Economics, Elsevier, vol. 53(C), pages 17-37.
    20. Nyman, John A. & Koc, Cagatay & Dowd, Bryan E. & McCreedy, Ellen & Trenz, Helen Markelova, 2018. "Decomposition of moral hazard," Journal of Health Economics, Elsevier, vol. 57(C), pages 168-178.
    21. Bryan Dowd & Matthew L. Maciejewski & Heidi O'Connor & Gerald Riley & Yisong Geng, 2011. "Health plan enrollment and mortality in the Medicare program," Health Economics, John Wiley & Sons, Ltd., vol. 20(6), pages 645-659, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabbri, Daniele & Monfardini, Chiara, 2009. "Rationing the public provision of healthcare in the presence of private supplements: Evidence from the Italian NHS," Journal of Health Economics, Elsevier, vol. 28(2), pages 290-304, March.
    2. Lehrer, Steven F. & Pereira, Nuno Sousa, 2007. "Worker sorting, compensating differentials and health insurance: Evidence from displaced workers," Journal of Health Economics, Elsevier, vol. 26(5), pages 1034-1056, September.
    3. Yang, Zhou & Bishai, David & Harman, Jeffrey, 2008. "Convergence of body mass with aging: The longitudinal interrelationship of health, weight, and survival," Economics & Human Biology, Elsevier, vol. 6(3), pages 469-481, December.
    4. Zhou Yang & Donna B. Gilleskie & Edward C. Norton, 2004. "Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics," NBER Working Papers 10964, National Bureau of Economic Research, Inc.
    5. Donna B. Gilleskie & Koleman S. Strumpf, 2005. "The Behavioral Dynamics of Youth Smoking," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 822-866.
    6. Holmes, George M., 2005. "Increasing physician supply in medically underserved areas," Labour Economics, Elsevier, vol. 12(5), pages 697-725, October.
    7. Yacine Ait-Sahalia & Jonathan A. Parker & Motohiro Yogo, 2001. "Luxury Goods and the Equity Premium," NBER Working Papers 8417, National Bureau of Economic Research, Inc.
    8. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    9. Colla Carrie H. & Dow William H. & Dube Arindrajit, 2013. "How Do Employers React to a Pay-or-Play Mandate? Early Evidence from San Francisco," Forum for Health Economics & Policy, De Gruyter, vol. 14(1), pages 1-2, November.
    10. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    11. Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of rural electrification on employment: A comment on Dinkelman (2011)," Ruhr Economic Papers 840, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Blundell, Richard & Bond, Stephen, 2023. "Reprint of: Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 234(S), pages 38-55.
    13. Iglesias Emma M., 2011. "Constrained k-class Estimators in the Presence of Weak Instruments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-13, September.
    14. Russell Davidson & James G. MacKinnon, 2006. "The case against JIVE," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 827-833, September.
    15. Bekker, Paul & Kleibergen, Frank, 2003. "Finite-Sample Instrumental Variables Inference Using An Asymptotically Pivotal Statistic," Econometric Theory, Cambridge University Press, vol. 19(5), pages 744-753, October.
    16. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    17. Erik Biørn, 2002. "Handling the measurement error problem by means of panel data: Moment methods applied on firm data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-1, International Conferences on Panel Data.
    18. Keisuke Hirano & Jack R. Porter, 2015. "Location Properties of Point Estimators in Linear Instrumental Variables and Related Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 720-733, December.
    19. Hoogerheide, Lennart & Kleibergen, Frank & van Dijk, Herman K., 2007. "Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data," Journal of Econometrics, Elsevier, vol. 138(1), pages 63-103, May.
    20. Bekker, Paul A. & Lawford, Steve, 2008. "Symmetry-based inference in an instrumental variable setting," Journal of Econometrics, Elsevier, vol. 142(1), pages 28-49, January.

    More about this item

    JEL classification:

    • I0 - Health, Education, and Welfare - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jhecon:v:22:y:2003:i:6:p:1105-1122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505560 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.