IDEAS home Printed from https://ideas.repec.org/p/mea/meawpa/07144.html

Socioeconomic and Health Determinants of Health Care Utilization Among Elderly Europeans: A Semiparametric Assessment of Equity, Intensity and Responsiveness for Ten European Countries

Author

Listed:
  • Jürgen Maurer

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

Abstract

This paper investigates the interplay of socioeconomic and medical determinants of health care utilization among elderly Europeans from ten countries. Using novel strictly comparable cross-national data from the Survey of Health, Ageing and Retirement in Europe (SHARE), the study exploits recent semi- and nonparametric estimation methods to illustrate how individual socioeconomic status and health determine health care utilization in different institutional settings. Our flexible estimation method allows for the use of multiple health measures to adjust for individual differences in health care need without sacrificing cross-national comparability of the resulting estimates. Within countries, we find only a small, if any, socioeconomic gradient. Moreover, all health systems appear to be reasonably responsive to differences in care need. At the same time, we find considerable variation in treatment intensity across countries, which we cannot fully explain by differences in health care need.

Suggested Citation

  • 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.
  • Handle: RePEc:mea:meawpa:07144
    as

    Download full text from publisher

    File URL: http://mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/7upuibh5pacb48fr_144-07.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Blundell & James L. Powell, 2001. "Endogeneity in nonparametric and semiparametric regression models," CeMMAP working papers 09/01, Institute for Fiscal Studies.
    2. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
    3. Dana P. Goldman & James P. Smith, 2004. "Can Patient Self-Management Help Explain the SES Health Gradient?," HEW 0403004, University Library of Munich, Germany.
    4. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    5. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    6. 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.
    7. David A. Wise, 2005. "Analyses in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise05-1, December.
    8. Roger W. Klein & Robert P. Sherman, 2002. "Shift Restrictions and Semiparametric Estimation in Ordered Response Models," Econometrica, Econometric Society, vol. 70(2), pages 663-691, March.
    9. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    10. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    11. Anne Case & Angus S. Deaton, 2005. "Broken Down by Work and Sex: How Our Health Declines," NBER Chapters, in: Analyses in the Economics of Aging, pages 185-212, National Bureau of Economic Research, Inc.
    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. Lambrelli D & O’Donnell O, 2009. "Why Does the Utilization of Pharmaceuticals Vary So Much Across Europe? Evidence from Micro Data on Older Europeans," Health, Econometrics and Data Group (HEDG) Working Papers 09/06, HEDG, c/o Department of Economics, University of York.
    2. Tavares, Lara Patrício & Zantomio, Francesca, 2017. "Inequity in healthcare use among older people after 2008: The case of southern European countries," Health Policy, Elsevier, vol. 121(10), pages 1063-1071.
    3. 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.
    4. Pulok, Mohammad Habibullah & Hajizadeh, Mohammad, 2022. "Equity in the use of physician services in Canada's universal health system: A longitudinal analysis of older adults," Social Science & Medicine, Elsevier, vol. 307(C).
    5. 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.

    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. Maurer, Jürgen, 2009. "Who has a clue to preventing the flu? Unravelling supply and demand effects on the take-up of influenza vaccinations," Journal of Health Economics, Elsevier, vol. 28(3), pages 704-717, May.
    2. Strulik, Holger, 2018. "The return to education in terms of wealth and health," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 1-14.
    3. James Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
    4. Steven J. Atlas & Jonathan Skinner, 2010. "Education and the Prevalence of Pain," NBER Chapters, in: Research Findings in the Economics of Aging, pages 145-166, National Bureau of Economic Research, Inc.
    5. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, pages 1044-1056.
    6. Costa-Font, Joan & Hernández-Quevedo, Cristina, 2012. "Measuring inequalities in health: What do we know? What do we need to know?," Health Policy, Elsevier, vol. 106(2), pages 195-206.
    7. Johnson Rucker C & Schoeni Robert F, 2011. "The Influence of Early-Life Events on Human Capital, Health Status, and Labor Market Outcomes Over the Life Course," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(3), pages 1-57, September.
    8. Strulik, Holger, 2011. "Health and Education: Understanding the Gradient," Hannover Economic Papers (HEP) dp-487, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Morefield Brant & Ribar David C. & Ruhm Christopher J., 2012. "Occupational Status and Health Transitions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(3), pages 1-29, March.
    10. Johnson Rucker C., 2012. "Health Dynamics and the Evolution of Health Inequality over the Life Course: The Importance of Neighborhood and Family Background," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(3), pages 1-69, January.
    11. Ilhom Abdulloev, 2018. "Job dissatisfaction and migration: evidence from Tajikistan," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-27, December.
    12. Titus Galama & Arie Kapteyn & Raquel Fonseca Benito & Pierre-Carl Michaud, 2009. "Grossman's Health Threshold and Retirement," Working Papers 658, RAND Corporation.
    13. Yixiao Jiang, 2021. "Semiparametric Estimation of a Corporate Bond Rating Model," Econometrics, MDPI, vol. 9(2), pages 1-20, May.
    14. Roger Klein & Chan Shen, 2015. "Semiparametric Instrumental Variable Estimation in an Endogenous Treatment Model," Departmental Working Papers 201511, Rutgers University, Department of Economics.
    15. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    16. Halliday Timothy, 2011. "Health Inequality over the Life-Cycle," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(3), pages 1-21, October.
    17. Ovrum, Arnstein & Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2012. "Health inequalities over the adult life course: the role of lifestyle choices," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125862, International Association of Agricultural Economists.
    18. Timothy Halliday, 2006. "The Impact of Aggregate and Idiosyncratic Income Shocks on Health Outcomes: Evidence from the PSID," Working Papers 200606, University of Hawaii at Manoa, Department of Economics.
    19. Nabanita Datta Gupta & Nicolai Kristensen, 2008. "Work environment satisfaction and employee health: panel evidence from Denmark, France and Spain, 1994–2001," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(1), pages 51-61, February.
    20. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "The socioeconomic health gradient across the life cycle: What role for selective mortality and institutionalization?," Social Science & Medicine, Elsevier, vol. 97(C), pages 66-74.

    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:07144. 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.