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The dynamics of health and its determinants among the elderly in developing countries

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  • Kim, Younoh

Abstract

This paper examines the persistence of bad health among the elderly, and attempts to identify its determinants. We are particularly interested in the role of recent past bad health. Using a panel data set from Indonesia Family Life Survey (IFLS), several health measures such as poor general health status (poor GHS), hypertension, and low body mass index (low BMI) are examined. We find that for all health measures, recent past bad health has a small impact on current bad health once conditioning on individual fixed effects. For instance, in the case of poor GHS, the elderly with poor GHS in the recent past are only 4% points more likely to have poor GHS in the subsequent period compared to their counterparts.

Suggested Citation

  • Kim, Younoh, 2015. "The dynamics of health and its determinants among the elderly in developing countries," Economics & Human Biology, Elsevier, vol. 19(C), pages 1-12.
    • Handle: RePEc:eee:ehbiol:v:19:y:2015:i:c:p:1-12
    DOI: 10.1016/j.ehb.2015.06.001
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    1. van Doorslaer, Eddy & Gerdtham, Ulf-G., 2003. "Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data," Social Science & Medicine, Elsevier, vol. 57(9), pages 1621-1629, November.
    2. Fernihough, Alan & McGovern, Mark E., 2015. "Physical stature decline and the health status of the elderly population in England," Economics & Human Biology, Elsevier, vol. 16(C), pages 30-44.
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    4. Thomas, Duncan & Witoelar, Firman & Frankenberg, Elizabeth & Sikoki, Bondan & Strauss, John & Sumantri, Cecep & Suriastini, Wayan, 2012. "Cutting the costs of attrition: Results from the Indonesia Family Life Survey," Journal of Development Economics, Elsevier, vol. 98(1), pages 108-123.
    5. James P. Smith, 2007. "The Impact of Socioeconomic Status on Health over the Life-Course," Journal of Human Resources, University of Wisconsin Press, vol. 42(4).
    6. Michael Grossman & Naci H. Mocan, 2011. "Economic Aspects of Obesity," NBER Books, National Bureau of Economic Research, Inc, number gros09-1, March.
    7. Subha Mani, 2012. "Is there Complete, Partial, or No Recovery from Childhood Malnutrition? – Empirical Evidence from Indonesia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 691-715, October.
    8. Younoh Kim, 2015. "Hypertension dynamics in the elderly population," Economics Bulletin, AccessEcon, vol. 35(1), pages 528-539.
    9. Douglas Almond & Janet Currie, 2011. "Killing Me Softly: The Fetal Origins Hypothesis," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 153-172, Summer.
    10. Guven, Cahit & Lee, Wang-Sheng, 2015. "Height, aging and cognitive abilities across Europe," Economics & Human Biology, Elsevier, vol. 16(C), pages 16-29.
    11. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    12. T. Paul Schultz, 2003. "Human Capital, Schooling and Health Returns," Working Papers 853, Economic Growth Center, Yale University.
    13. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
    14. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    15. Alan Fernihough & Mark E. McGovern, "undated". "Physical Stature Decline and the Health Status of the Elderly Population in England," PGDA Working Papers 11214, Program on the Global Demography of Aging.
    16. Schultz, T. Paul, 2003. "Human capital, schooling and health," Economics & Human Biology, Elsevier, vol. 1(2), pages 207-221, June.
    17. Grossman, Michael & Mocan, Naci (ed.), 2011. "Economic Aspects of Obesity," National Bureau of Economic Research Books, University of Chicago Press, number 9780226310091, December.
    18. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    19. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    20. Hoddinott, John & Kinsey, Bill, 2001. "Child Growth in the Time of Drought," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 409-436, September.
    21. Roemling, Cornelia & Qaim, Matin, 2013. "Dual burden households and intra-household nutritional inequality in Indonesia," Economics & Human Biology, Elsevier, vol. 11(4), pages 563-573.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. John Hoddinott & Bill Kinsey, 2001. "Child Growth in the Time of Drought," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 409-436, September.
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    Cited by:

    1. Valerii Baidin & Christopher J. Gerry & Maria Kaneva, 2021. "How Self-Rated is Self-Rated Health? Exploring the Role of Individual and Institutional Factors in Reporting Heterogeneity in Russia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 675-696, June.
    2. Md Nazmul Ahsan & Inas Rashad Kelly, 2018. "Earnings Gaps for Conspicuous Characteristics: Evidence from Indonesia," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 121-141, July.
    3. Ahsan, Md Nazmul & Maharaj, Riddhi, 2018. "Parental human capital and child health at birth in India," Economics & Human Biology, Elsevier, vol. 30(C), pages 130-149.
    4. Kim, Younoh & Knowles, Scott & Manley, James & Radoias, Vlad, 2017. "Long-run health consequences of air pollution: Evidence from Indonesia's forest fires of 1997," Economics & Human Biology, Elsevier, vol. 26(C), pages 186-198.
    5. Kaneva, Maria & Baidin, Valerii, 2018. "Heterogeneity in reporting self-assessed health of the Russians," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 102-125.

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    More about this item

    Keywords

    Elderly; Body mass index; General health status; Hypertension; Dynamic conditional health function; Indonesia;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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