IDEAS home Printed from https://ideas.repec.org/p/mea/meawpa/07145.html
   My bibliography  Save this paper

Modelling socioeconomic and health determinants of health care use: A semiparametric approach

Author

Listed:
  • Jürgen Maurer

    (Munich Center for the Economics of Aging (MEA))

Abstract

This paper suggests bivariate semiparametric index models as a tool for modelling the interplay of socioeconomic and health characteristics in determining health care utilisation. These models allow for a fully nonparametric relationship between socioeconomic status, health care need and care utilisation. The only parametric restriction imposed is that multiple socioeconomic and health indicators can be aggregated into two distinct indices that measure the broader concepts of socioeconomic status and health care need, respectively. We demonstrate the usefulness of this class of models based on an illustrative empirical example. The estimations highlight complex interactions of socioeconomic status and health care need in determining care use, which may be difficult to grasp via standard parametric modelling approaches.

Suggested Citation

  • Jürgen Maurer, 2007. "Modelling socioeconomic and health determinants of health care use: A semiparametric approach," MEA discussion paper series 07145, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    • Handle: RePEc:mea:meawpa:07145
    as

    Download full text from publisher

    File URL: http://mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/5llc72cezu49t1x7_145-07.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Smith, 2005. "Consequences and Predictors of New Health Events," NBER Chapters, in: Analyses in the Economics of Aging, pages 213-240, National Bureau of Economic Research, Inc.
    2. Lídia Farré & Francis Vella, 2008. "Macroeconomic Conditions and the Distribution of Income in Spain," LABOUR, CEIS, vol. 22(3), pages 383-410, September.
    3. Jürgen Maurer, 2007. "Socioeconomic and Health Determinants of Health Care Utilization Among Elderly Europeans: A Semiparametric Assessment of Equity, Intensity and Responsiveness for Ten European Countries," MEA discussion paper series 07144, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    4. Agar Brugiavini & Tullio Jappelli & Guglielmo Weber, 2002. "The Survey on Health, Aging and Wealth," CSEF Working Papers 86, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Andrew M. Jones, 2012. "health econometrics," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    6. James P. Smith, 1999. "Healthy Bodies and Thick Wallets: The Dual Relation between Health and Economic Status," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 145-166, Spring.
    7. Ignacio Abasolo & Rob Manning & Andrew Jones, 2001. "Equity in utilization of and access to public-sector GPs in Spain," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 349-364.
    8. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521370905.
    9. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521812832, January.
    10. James Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
    11. Stern, Steven, 1996. "Semiparametric estimates of the supply and demand effects of disability on labor force participation," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 49-70.
    12. Susan Vos, 2005. "Indicating Socioeconomic Status among Elderly People in Developing Societies: An Example from Brazil," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 73(1), pages 87-108, August.
    13. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521424318.
    14. Ichimura, H., 1991. "Semiparametric Least Squares (sls) and Weighted SLS Estimation of Single- Index Models," Papers 264, Minnesota - Center for Economic Research.
    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. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    2. Majo, Maria Cristina & van Soest, Arthur, 2012. "Income and health care utilization among the 50+ in Europe and the US," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 3-22.
    3. repec:asg:wpaper:1020 is not listed on IDEAS
    4. repec:asg:wpaper:1042 is not listed 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. Jürgen Maurer, 2007. "Modelling socioeconomic and health determinants of health‐care use: a semiparametric approach," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 967-979, September.
    2. Jürgen Maurer & Roger Klein & Francis Vella, 2011. "Subjective Health Assessments and Active Labor Market Participation of Older Men: Evidence from a Semiparametric Binary Choice Model with Nonadditive Correlated Individual-specific Effects," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 764-774, August.
    3. Lanot, Gauthier & Walker, Ian, 1998. "The union/non-union wage differential: An application of semi-parametric methods," Journal of Econometrics, Elsevier, vol. 84(2), pages 327-349, June.
    4. SCHAFGANS, Marcia M.A. & ZINDE-WALSH, Victoria, 2007. "Robust Average Derivative Estimation," Cahiers de recherche 12-2007, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Yingcun Xia & Wolfgang Härdle & Oliver Linton, 2009. "Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator," SFB 649 Discussion Papers SFB649DP2009-028, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. Lídia Farré & Francis Vella, 2008. "Macroeconomic Conditions and the Distribution of Income in Spain," LABOUR, CEIS, vol. 22(3), pages 383-410, September.
    7. Husain, Muhammad Jami, 2009. "Contribution of health to economic development: a survey and overview," Economics Discussion Papers 2009-40, Kiel Institute for the World Economy (IfW Kiel).
    8. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    9. Marcia M Schafgans & Victoria Zinde-Walshyz, 2008. "Smoothness Adaptive AverageDerivative Estimation," STICERD - Econometrics Paper Series 529, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    10. ASANO Hirokatsu, 2008. "Econometric Analysis of Irreversible Investment with Financial Constraints: Comparison of Parametric and Semiparametric Estimations," Discussion papers 08032, Research Institute of Economy, Trade and Industry (RIETI).
    11. Hernández-Quevedo, Cristina & Jiménez-Rubio, Dolores, 2009. "A comparison of the health status and health care utilization patterns between foreigners and the national population in Spain: New evidence from the Spanish National Health Survey," Social Science & Medicine, Elsevier, vol. 69(3), pages 370-378, August.
    12. Roger Klein & Francis Vella, 2009. "A semiparametric model for binary response and continuous outcomes under index heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 735-762.
    13. Poterba, James & Venti, Steven & Wise, David A., 2018. "Longitudinal determinants of end-of-life wealth inequality," Journal of Public Economics, Elsevier, vol. 162(C), pages 78-88.
    14. James M. Poterba & Steven F. Venti & David A. Wise, 2011. "Were They Prepared for Retirement? Financial Status at Advanced Ages in the HRS and AHEAD Cohorts," NBER Chapters, in: Investigations in the Economics of Aging, pages 21-69, National Bureau of Economic Research, Inc.
    15. Daniel L. McFadden, 2013. "The New Science of Pleasure," NBER Working Papers 18687, National Bureau of Economic Research, Inc.
    16. Sana Tabassum & Ashok Thomas, 2020. "A Longitudinal Analysis of the impact of Health Shocks on the wealth: Evidence from England," Working papers 371, Indian Institute of Management Kozhikode.
    17. David M. Cutler & Adriana Lleras-Muney & Tom Vogl, 2008. "Socioeconomic Status and Health: Dimensions and Mechanisms," NBER Working Papers 14333, National Bureau of Economic Research, Inc.
    18. Rehkopf, David H. & Jencks, Christopher & Glymour, M. Maria, 2010. "The association of earnings with health in middle age: Do self-reported earnings for the previous year tell the whole story?," Social Science & Medicine, Elsevier, vol. 71(3), pages 431-439, August.
    19. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    20. Lewbel, Arthur, 2000. "Semiparametric qualitative response model estimation with unknown heteroscedasticity or instrumental variables," Journal of Econometrics, Elsevier, vol. 97(1), pages 145-177, July.

    More about this item

    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:mea:meawpa:07145. 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: Henning Frankenberger (email available below). General contact details of provider: http://www.mea.mpisoc.mpg.de/ .

    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.