IDEAS home Printed from https://ideas.repec.org/p/irh/wpaper/dt52.html
   My bibliography  Save this paper

On the Socio-Economic Determinants of Frailty: Findings from Panel and Retrospective Data from SHARE

Author

Listed:
  • Nicolas Sirven

    (IRDES Institute for research and information in health economics)

Abstract

Recent studies on the demand for long-term care emphasised the role of frailty as a specific precursor of disability besides chronic diseases. Frailty is defined as vulnerable health status resulting from the reduction of individuals’ reserve capacity. This medical concept is brought here in an economic framework in order to investigate the role social policies may play in preventing disability or maintaining life quality of people in a disablement process. Using four waves of panel data from the Survey on Health, Ageing, and Retirement in Europe (SHARE), a frailty index is created as a count measure for five physiologic criteria (Fried model) for respondents aged 50+ in 10 European countries, between 2004 and 2011. The longitudinal dimension is explored in two ways. First, differences in frailty dynamics over a seven-year-time period are analysed through variables that are relevant for social policy (income maintenance, housing adaptation, and prevention of social isolation) in a panel model for count data with fixed effects. Second, the individual fixed effects are decomposed by means of a random effects model with Mundlak specification. SHARE additional retrospective data on life history (SHARELIFE) are then used to investigate differences in frailty levels. The results reveal the presence of various sources of social inequalities over the life-course. Social Protection Systems thus appear to play a major role in accompanying, preventing or reducing the frailty process. Several policy implications are suggested.

Suggested Citation

  • Nicolas Sirven, 2012. "On the Socio-Economic Determinants of Frailty: Findings from Panel and Retrospective Data from SHARE," Working Papers DT52, IRDES institut for research and information in health economics, revised Dec 2012.
  • Handle: RePEc:irh:wpaper:dt52
    as

    Download full text from publisher

    File URL: https://www.irdes.fr/EspaceAnglais/Publications/WorkingPapers/DT52SocioEconomicDeterminantsFrailty.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Doblhammer, Gabriele & Kytir, Josef, 2001. "Compression or expansion of morbidity? Trends in healthy-life expectancy in the elderly Austrian population between 1978 and 1998," Social Science & Medicine, Elsevier, vol. 52(3), pages 385-391, February.
    2. Sirven, Nicolas & Debrand, Thierry, 2012. "Social capital and health of older Europeans: Causal pathways and health inequalities," Social Science & Medicine, Elsevier, vol. 75(7), pages 1288-1295.
    3. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    4. Boult, C. & Altmann, M. & Gilbertson, D. & Yu, C. & Kane, R.L., 1996. "Decreasing disability in the 21st century: The future effects of controlling six fatal and nonfatal conditions," American Journal of Public Health, American Public Health Association, vol. 86(10), pages 1388-1393.
    5. Bonsang, Eric & Adam, Stéphane & Perelman, Sergio, 2012. "Does retirement affect cognitive functioning?," Journal of Health Economics, Elsevier, vol. 31(3), pages 490-501.
    6. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    8. Elsa Fornero & Annamaria Lusardi & Chiara Monticone, 2009. "Adequacy of Saving for Old Age in Europe," CeRP Working Papers 87, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    9. Folland, Sherman, 2007. "Does "community social capital" contribute to population health?," Social Science & Medicine, Elsevier, vol. 64(11), pages 2342-2354, June.
    10. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    11. Alain Trannoy & Sandy Tubeuf & Florence Jusot & Marion Devaux, 2010. "Inequality of opportunities in health in France: a first pass," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 921-938, August.
    12. David M. Cutler & David A. Wise, 2009. "Health at Older Ages: The Causes and Consequences of Declining Disability among the Elderly," NBER Books, National Bureau of Economic Research, Inc, number cutl08-1.
    13. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408, Elsevier.
    14. Mary Beth Landrum & Kate A. Stewart & David M. Cutler, 2009. "Clinical Pathways to Disability," NBER Chapters, in: Health at Older Ages: The Causes and Consequences of Declining Disability among the Elderly, pages 151-187, National Bureau of Economic Research, Inc.
    15. B. d'Hombres & L. Rocco & M. Suhrcke & M. McKee, 2010. "Does social capital determine health? Evidence from eight transition countries," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 56-74, January.
    16. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    17. Lucas Ronconi & Timothy T. Brown & Richard M. Scheffler, 2012. "Social capital and self‐rated health in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 201-208, February.
    18. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    19. Tim Goedemé, 2012. "Less is More? 20 years of changing minimum income protection for old EuropeÂ’’s elderly," Working Papers 1207, Herman Deleeck Centre for Social Policy, University of Antwerp.
    20. Gaétan Lafortune & Gaëlle Balestat, 2007. "Trends in Severe Disability Among Elderly People: Assessing the Evidence in 12 OECD Countries and the Future Implications," OECD Health Working Papers 26, OECD Publishing.
    21. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    22. Freedman, Vicki A. & Martin, Linda G. & Schoeni, Robert F. & Cornman, Jennifer C., 2008. "Declines in late-life disability: The role of early- and mid-life factors," Social Science & Medicine, Elsevier, vol. 66(7), pages 1588-1602, April.
    23. Liu, Hui, 2012. "Marital dissolution and self-rated health: Age trajectories and birth cohort variations," Social Science & Medicine, Elsevier, vol. 74(7), pages 1107-1116.
    24. Robert F. Schoeni & Vicki A. Freedman & Linda G. Martin, 2009. "Socioeconomic and Demographic Disparties in Trends in Old-Age Disability," NBER Chapters, in: Health at Older Ages: The Causes and Consequences of Declining Disability among the Elderly, pages 75-102, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items 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. Arrighi, Y. & Rapp, T. & Sirven, N., 2017. "The impact of economic conditions on the disablement process: A Markov transition approach using SHARE data," Health Policy, Elsevier, vol. 121(7), pages 778-785.
    2. Haile, Kaleab & Tirivayi, Nyasha & Nillesen, Eleonora, 2019. "Climate shocks, coping responses and gender gap in human development," MERIT Working Papers 2019-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    4. Arnd Kölling & Claus Schnabel, 2022. "Owners, external managers and industrial relations in German establishments," British Journal of Industrial Relations, London School of Economics, vol. 60(2), pages 424-443, June.
    5. Silver, Michelle Pannor & Dass, Adrian Rohit & Laporte, Audrey, 2020. "The effect of post-retirement employment on health," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    6. Jie Wei & Yonghui Zhang, 2022. "Panel Probit Models with Time‐Varying Individual Effects: Reestimating the Effects of Fertility on Female Labour Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 799-829, August.
    7. Becker, Annette & Hottenrott, Hanna & Mukherjee, Anwesha, 2022. "Division of labor in R&D? Firm size and specialization in corporate research," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 1-23.
    8. Xindong Xue & W. Robert Reed, 2015. "The Relationship Between Social Capital And Health In China," Working Papers in Economics 15/05, University of Canterbury, Department of Economics and Finance.
    9. Irina B. Grafova & Alan C. Monheit & Rizie Kumar, 2020. "How do changes in income, employment and health insurance affect family mental health spending?," Review of Economics of the Household, Springer, vol. 18(1), pages 239-263, March.
    10. Arnd Kölling, 2022. "Monopsony power and the demand for low-skilled workers," The Economic and Labour Relations Review, , vol. 33(2), pages 377-395, June.
    11. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    12. Kock, Anders Bredahl, 2016. "Oracle inequalities, variable selection and uniform inference in high-dimensional correlated random effects panel data models," Journal of Econometrics, Elsevier, vol. 195(1), pages 71-85.
    13. Sen, Suphi, 2015. "Corporate governance, environmental regulations, and technological change," European Economic Review, Elsevier, vol. 80(C), pages 36-61.
    14. Heller-Sahlgren, Gabriel, 2017. "Retirement blues," Journal of Health Economics, Elsevier, vol. 54(C), pages 66-78.
    15. Brenda Gannon & Jennifer Roberts, 2020. "Social capital: exploring the theory and empirical divide," Empirical Economics, Springer, vol. 58(3), pages 899-919, March.
    16. Ledyaeva, Svetlana & Karhunen, Päivi & Kosonen, Riitta, 2013. "Birds of a feather: Evidence on commonality of corruption and democracy in the origin and location of foreign investment in Russian regions," European Journal of Political Economy, Elsevier, vol. 32(C), pages 1-25.
    17. Makate, Clifton & Angelsen, Arild & Holden, Stein Terje & Westengen, Ola Tveitereid, 2022. "Crops in crises: Shocks shape smallholders' diversification in rural Ethiopia," World Development, Elsevier, vol. 159(C).
    18. Claudio Lucifora & Daria Vigani, 2018. "Health care utilization at retirement: The role of the opportunity cost of time," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 2030-2050, December.
    19. Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
    20. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2014. "Panel Data Gravity Models of International Trade," CESifo Working Paper Series 4616, CESifo.

    More about this item

    Keywords

    Demand for health; Long-term care; Income maintenance; Health prevention; Panel models for count data; Mundlak device;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:irh:wpaper:dt52. 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: Jacques Harrouin (email available below). General contact details of provider: https://edirc.repec.org/data/credefr.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.