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The Effect of Early Life Health on Later Life Home Care Use: The Mediating Role of Household Composition

Author

Listed:
  • Bijwaard, Govert

    (NIDI - Netherlands Interdisciplinary Demographic Institute)

  • Alessie, Rob

    (University of Groningen)

  • Angelini, Viola

    (University of Groningen)

Abstract
In this paper we estimate the effect of early life health on home care use later in life, and we analyse whether this effect is mediated through household composition. We use Dutch administrative data on men born in 1944-1947 who were examined for military service between 1961-1965 and we link them to national data on non-residential care in the period 2004-2013 and data on house- hold status information for the years 1999-2014. We account for confounding factors that influence both early life health and later life home care use. We also account for selective attrition. Our empirical findings show that general health problems in youth is an important health predictor for later life home care use. A large portion of this effect is an indirect effect running through changes in partnership status.

Suggested Citation

  • Bijwaard, Govert & Alessie, Rob & Angelini, Viola, 2018. "The Effect of Early Life Health on Later Life Home Care Use: The Mediating Role of Household Composition," IZA Discussion Papers 11729, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp11729
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    References listed on IDEAS

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    1. Nezih Guner & Yuliya Kulikova & Joan Llull, 2014. "Does Marriage Make You Healthier?," Working Papers 795, Barcelona School of Economics.
    2. Douglas Almond & Janet Currie & Valentina Duque, 2018. "Childhood Circumstances and Adult Outcomes: Act II," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1360-1446, December.
    3. John Murray, 2000. "Marital protection and marital selection: Evidence from a historical-prospective sample of American men," Demography, Springer;Population Association of America (PAA), vol. 37(4), pages 511-521, November.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    6. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    7. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    8. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    9. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    10. Gardner, Jonathan & Oswald, Andrew, 2004. "How is mortality affected by money, marriage, and stress?," Journal of Health Economics, Elsevier, vol. 23(6), pages 1181-1207, November.
    11. 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.
    12. Tommaso Nannicini, 2007. "A simulation-based sensitivity for matching estimators," United Kingdom Stata Users' Group Meetings 2007 15, Stata Users Group.
    13. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    14. Ekamper, P. & van Poppel, F. & Stein, A.D. & Lumey, L.H., 2014. "Independent and additive association of prenatal famine exposure and intermediary life conditions with adult mortality between age 18–63 years," Social Science & Medicine, Elsevier, vol. 119(C), pages 232-239.
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    More about this item

    Keywords

    home care use; early life health; inverse propensity weighting; mediation;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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