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Modelling socioeconomic and health determinants of health-care use: a semiparametric approach

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  • Jürgen Maurer

    (Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim, Mannheim, Germany)

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. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:hlthec:v:16:y:2007:i:9:p:967-979
    DOI: 10.1002/hec.1253
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    References listed on IDEAS

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    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. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
    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. James Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
    9. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
    10. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521812832.
    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. Ichimura, H., 1991. "Semiparametric Least Squares (sls) and Weighted SLS Estimation of Single- Index Models," Papers 264, Minnesota - Center for Economic Research.
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    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, Publishing House "SINERGIA PRESS", 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

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