IDEAS home Printed from https://ideas.repec.org/p/cfr/cefirw/w0172.html
   My bibliography  Save this paper

Estimating income equity in social health insurance system

Author

Listed:
  • Galina Besstremyannaya

    (Center for Economic and Financial Research at New Economic School)

Abstract

TThe paper measures horizontal equity in health care access and utilization in Japan by estimating the coefficients for income groups in a multi-part model which distinguishes between non-users of health care, the users of inpatient and outpatient care. To account for consumer unobservable characteristics, we apply a latent class approach. We address a retransformation problem of logged health care expenditure, using generalized linear models. Our sample is the 2009 data for 4,022 adult consumers (Japan Household Panel Survey). The coefficients for income groups are insignificant both in the binary choice models for inpatient/outpatient health care use, and in the models for health care expenditure. Consumers separate into two latent classes in the generalized linear model for outpatient health care expenditure. Although the results reveal horizontal equity in health care access and utilization in Japan, horizontal inequity remains in health insurance premiums and the prevalence of catastrophic coverage.

Suggested Citation

  • Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, Center for Economic and Financial Research (CEFIR).
  • Handle: RePEc:cfr:cefirw:w0172
    as

    Download full text from publisher

    File URL: http://www.cefir.ru/papers/WP172_final.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    2. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    3. Peter Zweifel & Friedrich Breyer, 2012. "The Economics of Social Health Insurance," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 12, Edward Elgar Publishing.
    4. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-289, July.
    5. Andrew M. Jones (ed.), 2006. "The Elgar Companion to Health Economics," Books, Edward Elgar Publishing, number 3572.
    6. Wagstaff, Adam & van Doorslaer, Eddy & Paci, Pierella, 1991. "Horizontal equity in the delivery of health care," Journal of Health Economics, Elsevier, vol. 10(2), pages 251-256, July.
    7. Jones, Andrew M. & Wildman, John, 2008. "Health, income and relative deprivation: Evidence from the BHPS," Journal of Health Economics, Elsevier, vol. 27(2), pages 308-324, March.
    8. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    9. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    10. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    11. Anthony J. Culyer, 2005. "The Dictionary of Health Economics," Books, Edward Elgar Publishing, number 2934.
    12. Blough, David K. & Madden, Carolyn W. & Hornbrook, Mark C., 1999. "Modeling risk using generalized linear models," Journal of Health Economics, Elsevier, vol. 18(2), pages 153-171, April.
    13. Culyer, A. J. & Wagstaff, Adam, 1993. "Equity and equality in health and health care," Journal of Health Economics, Elsevier, vol. 12(4), pages 431-457, December.
    14. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    15. Hurley, Jeremiah, 2000. "An overview of the normative economics of the health sector," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 2, pages 55-118, Elsevier.
    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. Matthias Eckardt & Christian Brettschneider & Hendrik van den Bussche & Hans‐Helmut König & MultiCare Study Group, 2017. "Analysis of Health Care Costs in Elderly Patients with Multiple Chronic Conditions Using a Finite Mixture of Generalized Linear Models," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 582-599, May.
    2. Galina Besstremyannaya, 2014. "Urban inequity in the performance of social health insurance system: evidence from Russian regions," Working Papers w0204, Center for Economic and Financial Research (CEFIR).
    3. Galina Besstremyannaya, 2014. "Urban inequity in the performance of social health insurance system: evidence from Russian regions," Working Papers w0204, New Economic School (NES).

    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. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    2. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, New Economic School (NES).
    3. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    4. Borislava Mihaylova & Andrew Briggs & Anthony O'Hagan & Simon G. Thompson, 2011. "Review of statistical methods for analysing healthcare resources and costs," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 897-916, August.
    5. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2015. "The influence of obesity and overweight on medical costs: a panel data perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 161-173, March.
    6. Brilleman, Samuel L. & Gravelle, Hugh & Hollinghurst, Sandra & Purdy, Sarah & Salisbury, Chris & Windmeijer, Frank, 2014. "Keep it simple? Predicting primary health care costs with clinical morbidity measures," Journal of Health Economics, Elsevier, vol. 35(C), pages 109-122.
    7. Samuel L Brilleman & Hugh Gravelle & Sandra Hollinghurst & Sarah Purdy & Chris Salisbury & Frank Windmeijer, 2011. "Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity," Working Papers 072cherp, Centre for Health Economics, University of York.
    8. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    9. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    10. Andreas Bayerstadler & Franz Benstetter & Christian Heumann & Fabian Winter, 2014. "A predictive modeling approach to increasing the economic effectiveness of disease management programs," Health Care Management Science, Springer, vol. 17(3), pages 284-301, September.
    11. Steven C. Hill & G. Edward Miller, 2010. "Health expenditure estimation and functional form: applications of the generalized gamma and extended estimating equations models," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 608-627, May.
    12. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.

    More about this item

    Keywords

    health care demand; equity; income elasticity; generalized linear models; latent class; two-part model; four-part model; social health insurance;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

    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:cfr:cefirw:w0172. 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: Julia Babich (email available below). General contact details of provider: https://edirc.repec.org/data/cefirru.html .

    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.