IDEAS home Printed from https://ideas.repec.org/p/vuw/vuwecf/1674.html
   My bibliography  Save this paper

The impact of private hospital insurance on utilization of hospital care in Australia: Evidence from the national health survey

Author

Listed:
  • Eldridge, Damien
  • Koç, Cagatay
  • Onur, Ilke
  • Velamuri, Malathi

Abstract

We estimate the impact of private hospital insurance on utilization of hospital care services in Australia. We employ the two-stage residual inclusion approach to address the endogeneity of private insurance. We calculate moral hazard based on a difference-of-means estimator. Our three-stage estimation framework provides evidence of selection into private hospital insurance. We find strong evidence of moral hazard when we treat hospital insurance as exogenous. After controlling for the endogeneity of hospital insurance, we find robust evidence of substitution from public to private hospital care but no evidence of ex-post moral hazard in the number of nights spent in hospital.

Suggested Citation

  • Eldridge, Damien & Koç, Cagatay & Onur, Ilke & Velamuri, Malathi, 2011. "The impact of private hospital insurance on utilization of hospital care in Australia: Evidence from the national health survey," Working Paper Series 1674, Victoria University of Wellington, School of Economics and Finance.
  • Handle: RePEc:vuw:vuwecf:1674
    as

    Download full text from publisher

    File URL: http://researcharchive.vuw.ac.nz/handle/10063/1674
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Randall Ellis & Elizabeth Savage, 2008. "Run for cover now or later? The impact of premiums, threats and deadlines on private health insurance in Australia," International Journal of Health Economics and Management, Springer, vol. 8(4), pages 257-277, December.
    2. Jane Hall & Richard De Abreu Lourenco & Rosalie Viney, 1999. "Carrots and sticks—the fall and fall of private health insurance in Australia," Health Economics, John Wiley & Sons, Ltd., vol. 8(8), pages 653-660, December.
    3. Chai Cheng, T & Vahid, F, 2010. "Demand for hospital care and private health insurance in a mixed publicprivate system: empirical evidence using a simultaneous equation modeling approach," Health, Econometrics and Data Group (HEDG) Working Papers 10/25, HEDG, c/o Department of Economics, University of York.
    4. Savage, Elizabeth & Wright, Donald J., 2003. "Moral hazard and adverse selection in Australian private hospitals: 1989-1990," Journal of Health Economics, Elsevier, vol. 22(3), pages 331-359, May.
    5. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    6. Chesher, Andrew & Irish, Margaret, 1987. "Residual analysis in the grouped and censored normal linear model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 33-61.
    7. Francesca Colombo & Nicole Tapay, 2003. "Private Health Insurance in Australia: A Case Study," OECD Health Working Papers 8, OECD Publishing.
    8. Garry F. Barrett & Robert Conlon, 2003. "Adverse Selection and the Decline in Private Health Insurance Coverage in Australia: 1989–95," The Economic Record, The Economic Society of Australia, vol. 79(246), pages 279-296, September.
    9. Denise Doiron & Glenn Jones & Elizabeth Savage, 2008. "Healthy, wealthy and insured? The role of self‐assessed health in the demand for private health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 317-334, March.
    10. Kees Van Gool & Elizabeth Savage & Rosalie Viney & Marion Haas & Rob Anderson, 2009. "Who's Getting Caught? An Analysis of the Australian Medicare Safety Net," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(2), pages 143-154, June.
    11. Rhema Vaithianathan, 2004. "A Critique of the Private Health Insurance Regulations," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 37(3), pages 257-270, September.
    12. Thomas Buchmueller, 2008. "Community Rating, Entry-Age Rating and Adverse Selection in Private Health Insurance in Australia*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 33(4), pages 588-609, October.
    13. Manning, Willard G. & Marquis, M. Susan, 1996. "Health insurance: The tradeoff between risk pooling and moral hazard," Journal of Health Economics, Elsevier, vol. 15(5), pages 609-639, October.
    14. 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," Review of Economic Studies, Oxford University Press, vol. 55(1), pages 85-106.
    15. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 45-97.
    Full references (including those not matched with items on IDEAS)

    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. Damien S. Eldridge & Ilke Onur & Malathi Velamuri, 2017. "The impact of private hospital insurance on the utilization of hospital care in Australia," Applied Economics, Taylor & Francis Journals, vol. 49(1), pages 78-95, January.
    2. Cheng, Terence Chai, 2014. "Measuring the effects of reducing subsidies for private insurance on public expenditure for health care," Journal of Health Economics, Elsevier, vol. 33(C), pages 159-179.
    3. Denise Doiron & Nathan Kettlewell, 2018. "The Effect of Health Insurance on the Substitution between Public and Private Hospital Care," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 135-154, June.
    4. Doiron, Denise & Fiebig, Denzil G. & Suziedelyte, Agne, 2014. "Hips and hearts: The variation in incentive effects of insurance across hospital procedures," Journal of Health Economics, Elsevier, vol. 37(C), pages 81-97.
    5. Buchmueller, Thomas C. & Fiebig, Denzil G. & Jones, Glenn & Savage, Elizabeth, 2013. "Preference heterogeneity and selection in private health insurance: The case of Australia," Journal of Health Economics, Elsevier, vol. 32(5), pages 757-767.
    6. Thomas Buchmueller, 2008. "Community Rating, Entry-Age Rating and Adverse Selection in Private Health Insurance in Australia*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 33(4), pages 588-609, October.
    7. Denise Doiron & Nathan Kettlewell, 2020. "Family formation and the demand for health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-533, April.
    8. Kiil, Astrid, 2012. "What characterises the privately insured in universal health care systems? A review of the empirical evidence," Health Policy, Elsevier, vol. 106(1), pages 60-75.
    9. Sandra Hopkins & Michael P. Kidd & Aydogan Ulker, 2013. "Private Health Insurance Status and Utilisation of Dental Services in Australia," The Economic Record, The Economic Society of Australia, vol. 89(285), pages 194-206, June.
    10. Nathan Kettlewell, 2019. "Utilization and Selection in an Ancillaries Health Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(4), pages 989-1017, December.
    11. Nathan Kettlewell, 2020. "Policy Choice and Product Bundling in a Complicated Health Insurance Market: Do People Get It Right?," Journal of Human Resources, University of Wisconsin Press, vol. 55(2), pages 566-610.
    12. Omar Paccagnella & Vincenzo Rebba & Guglielmo Weber, 2013. "VOLUNTARY PRIVATE HEALTH INSURANCE AMONG THE OVER 50s IN EUROPE," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 289-315, March.
    13. Terence Chai Cheng, 2011. "Measuring the Effects of Removing Subsidies for Private Insurance on Public Expenditure for Health Care," Melbourne Institute Working Paper Series wp2011n26, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    14. Terence C. Cheng & Alfons Palangkaraya & Jongsay Yong, 2014. "Hospital utilization in mixed public--private system: evidence from Australian hospital data," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 859-870, March.
    15. Keegan, Conor, 2020. "The introduction of lifetime community rating in the Irish private health insurance market: Effects on coverage and plan choice," Social Science & Medicine, Elsevier, vol. 255(C).
    16. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    17. Daniele Fabbri & Chiara Monfardini, 2016. "Opt Out or Top Up? Voluntary Health Care Insurance and the Public vs. Private Substitution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 75-93, February.
    18. H. E. Frech & Peter Zweifel, 2017. "Market Socialism and Community Rating in Health Insurance," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 59(3), pages 405-427, September.
    19. Bolhaar, Jonneke & Lindeboom, Maarten & van der Klaauw, Bas, 2012. "A dynamic analysis of the demand for health insurance and health care," European Economic Review, Elsevier, vol. 56(4), pages 669-690.
    20. Aristides dos Santos, Anderson Moreira & Perelman, Julian & Jacinto, Paulo de Andrade & Tejada, Cesar Augusto Oviedo & Barros, Aluísio J.D. & Bertoldi, Andréa D. & Matijasevich, Alicia & Santos, Iná S, 2019. "Income-related inequality and inequity in children’s health care: A longitudinal analysis using data from Brazil," Social Science & Medicine, Elsevier, vol. 224(C), pages 127-137.

    More about this item

    Keywords

    Health Insurance; Health Care Consumption; Moral Hazard;
    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
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:vuw:vuwecf:1674. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Library Technology Services). General contact details of provider: http://edirc.repec.org/data/egvuwnz.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.