IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp11729.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp11729.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Nezih Guner & Yuliya Kulikova & Joan Llull, 2014. "Does Marriage Make You Healthier?," Working Papers 795, Barcelona School of Economics.
    3. 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.
    4. 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.
    5. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Tommaso Nannicini, 2007. "A simulation-based sensitivity for matching estimators," United Kingdom Stata Users' Group Meetings 2007 15, Stata Users Group.
    12. 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.
    13. 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.
    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.
    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. Bijwaard, G.E. & Jones, A.M., 2015. "Intelligence and the Mortality Difference by Education: Selection or mediation?," Health, Econometrics and Data Group (HEDG) Working Papers 15/07, HEDG, c/o Department of Economics, University of York.
    2. Govert E. Bijwaard & Andrew M. Jones, 2019. "An IPW estimator for mediation effects in hazard models: with an application to schooling, cognitive ability and mortality," Empirical Economics, Springer, vol. 57(1), pages 129-175, July.
    3. Bijwaard, Govert & Jones, Andrew M., 2016. "Cognitive Ability and the Mortality Gradient by Education: Selection or Mediation?," IZA Discussion Papers 9798, Institute of Labor Economics (IZA).
    4. Ángela Rocío López Sánchez & Andrés Felipe Virgüez Clavijo & Jaime Andrés Sarmiento Espinel & Adriana Carolina Silva Arias, 2015. "El efecto de la gerencia privada de escuelas públicas en el desempeno estudiantil en la educación media en Colombia," Revista Ecos de Economía, Universidad EAFIT, vol. 19(41), pages 108-136, December.
    5. Martin Binder & Alex Coad, 2013. "Life satisfaction and self-employment: a matching approach," Small Business Economics, Springer, vol. 40(4), pages 1009-1033, May.
    6. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
    7. Raquel Justo & Emilio Congregado & Concepción Román, 2021. "Becoming self-employed from inactivity: an in-depth analysis of satisfaction," Small Business Economics, Springer, vol. 56(1), pages 145-187, January.
    8. Bijwaard, Govert E., 2022. "Educational differences in mortality and hospitalisation for cardiovascular diseases," Journal of Health Economics, Elsevier, vol. 81(C).
    9. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    10. Aassve, Arnstein & Arpino, Bruno, 2008. "Estimation of causal effects of fertility on economic wellbeing: evidence from rural Vietnam," ISER Working Paper Series 2007-27, Institute for Social and Economic Research.
    11. 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.
    12. Bijwaard, Govert, 2021. "Educational Differences in Mortality and Hospitalisation for Cardiovascular Diseases for Males," IZA Discussion Papers 14507, Institute of Labor Economics (IZA).
    13. Simone Bertoli & Francesca Marchetta, 2014. "Migration, Remittances and Poverty in Ecuador," Journal of Development Studies, Taylor & Francis Journals, vol. 50(8), pages 1067-1089, August.
    14. Nhan, Tran Quoc & Gillette, Raulston & Yutaka, Tomoyuki & Can, Nguyen Duy, 2020. "Impact of Outgrower Scheme on Yield,Output Price,and Income: A Rice-Farm-Level Study in the Mekong Delta,Vietnam," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 61(1), pages 1-19, June.
    15. Caliendo, Marco & Künn, Steffen, 2011. "Start-up subsidies for the unemployed: Long-term evidence and effect heterogeneity," Journal of Public Economics, Elsevier, vol. 95(3), pages 311-331.
    16. Baris Ucar & Gianni Betti, 2016. "The effect of a newborn on household poverty: a multi-indicator analysis," Department of Economics University of Siena 742, Department of Economics, University of Siena.
    17. Dragana Radicic & Geoffrey Pugh & David Douglas, 2020. "Promoting cooperation in innovation ecosystems: evidence from European traditional manufacturing SMEs," Small Business Economics, Springer, vol. 54(1), pages 257-283, January.
    18. Bronfman, Javier & Floro, Maria, 2014. "How well has the Social Protection Scheme Reduced Vulnerability in Chile?," MPRA Paper 63255, University Library of Munich, Germany.
    19. Bellani, Luna & Bia, Michela, 2017. "The Long-Run Impact of Childhood Poverty and the Mediating Role of Education," IZA Discussion Papers 10677, Institute of Labor Economics (IZA).
    20. Binder, Martin & Coad, Alex, 2013. "“I'm afraid I have bad news for you…” Estimating the impact of different health impairments on subjective well-being," Social Science & Medicine, Elsevier, vol. 87(C), pages 155-167.

    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

    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:iza:izadps:dp11729. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.