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

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  • 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.

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Paper provided by Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy in its series MEA discussion paper series with number 07145.

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Date of creation: 17 Jul 2007
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Handle: RePEc:mea:meawpa:07145

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  1. 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.
  2. HÄRDLE, Wolfgang, 1992. "Applied nonparametric methods," CORE Discussion Papers 1992003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521812832, April.
  4. Oliver LINTON, . "Applied nonparametric methods," Statistic und Oekonometrie 9312, Humboldt Universitaet Berlin.
  5. 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.
  6. James P. Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
  7. James P. Smith, 2003. "Consequences and Predictors of New Health Events," NBER Working Papers 10063, National Bureau of Economic Research, Inc.
  8. 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.
  9. 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.
  10. Jones, Andrew M., 2000. "Health econometrics," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 6, pages 265-344 Elsevier.
  11. Lídia Farré & Francis Vella, 2008. "Macroeconomic Conditions and the Distribution of Income in Spain," LABOUR, CEIS, vol. 22(3), pages 383-410, 09.
  12. Ichimura, H., 1991. "Semiparametric Least Squares (sls) and Weighted SLS Estimation of Single- Index Models," Papers 264, Minnesota - Center for Economic Research.
  13. Susan Vos, 2005. "Indicating Socioeconomic Status among Elderly People in Developing Societies: An Example from Brazil," Social Indicators Research, Springer, vol. 73(1), pages 87-108, 08.
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Cited by:
  1. 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.
  2. repec:asg:wpaper:1042 is not listed on IDEAS
  3. repec:asg:wpaper:1020 is not listed on IDEAS

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