IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v35y2020i2p532-544.html
   My bibliography  Save this article

How do Co‐ and Non‐Residential Children Impact your Subjective Life Expectancy: An Empirical Study on CHARLS Data?

Author

Listed:
  • Hong Wu

Abstract

Background Existing studies conclude SLE predicts decision‐making in the future. This paper studied how contacts with children influence subjective life expectancy (SLE) of the mid‐age and elderly in China. We also investigated the moderation effect of living arrangement preference (LAP). A better understanding of impact factors that contribute to the mid‐age and elderly's thoughts about their lifetime is essential for the late‐career financial planning and health interventions. Methods Our study examines the relationship between co‐ and non‐residential children and SLE by using two waves of data from China Health and Retirement Longitudinal Study (CHARLS). Results Our findings suggest that contacts with children help older people construct positive SLE. However, with an increased number of non‐residential children, older people will become pessimistic about their SLE. When older people prefer living alone, it decreases the impact of the number of non‐residential children on SLE. Conclusion Our results encourage children to live with their parents and contact their parents from time to time. Interventions that change their ideas about living arrangement preference may actually be useful for mid‐age and elderly. The best living arrangement should take the living arrangement preference of older people into consideration and give them the best arrangement according to their preference.

Suggested Citation

  • Hong Wu, 2020. "How do Co‐ and Non‐Residential Children Impact your Subjective Life Expectancy: An Empirical Study on CHARLS Data?," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(2), pages 532-544, March.
  • Handle: RePEc:bla:ijhplm:v:35:y:2020:i:2:p:532-544
    DOI: 10.1002/hpm.2946
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.2946
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hpm.2946?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Seeman, Teresa E. & Berkman, Lisa F., 1988. "Structural characteristics of social networks and their relationship with social support in the elderly: Who provides support," Social Science & Medicine, Elsevier, vol. 26(7), pages 737-749, January.
    2. Gan, Li & Gong, Guan & Hurd, Michael & McFadden, Daniel, 2015. "Subjective mortality risk and bequests," Journal of Econometrics, Elsevier, vol. 188(2), pages 514-525.
    3. Mirowsky, John, 1999. "Subjective life expectancy in the US: correspondence to actuarial estimates by age, sex and race," Social Science & Medicine, Elsevier, vol. 49(7), pages 967-979, October.
    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. Jianjian Liu & Ying Yang & Jiayi Zhou & Tianyu Liu & Wenjie Zhang & Liuyi Wei & Shaotang Wu, 2020. "Prevalence and Associated Factors of Compliance Behaviors among Middle-Aged and Older Hypertensive Patients in China: Results from the China Health and Retirement Longitudinal Study," IJERPH, MDPI, vol. 17(19), pages 1-15, October.

    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. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    2. Anikó Bíró, 2013. "Subjective mortality hazard shocks and the adjustment of consumption expenditures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1379-1408, October.
    3. Márta Péntek & László Gulácsi & Bernadette Rojkovich & Valentin Brodszky & Job Exel & Werner B. F. Brouwer, 2014. "Subjective health expectations at biological therapy initiation: a survey of rheumatoid arthritis patients and rheumatologists," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(1), pages 83-92, May.
    4. Spaenjers, Christophe & Spira, Sven Michael, 2015. "Subjective life horizon and portfolio choice," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 94-106.
    5. Cormac O'Dea & David Sturrock, 2023. "Survival Pessimism and the Demand for Annuities," The Review of Economics and Statistics, MIT Press, vol. 105(2), pages 442-457, March.
    6. Wu, Shang & Stevens, Ralph & Thorp, Susan, 2015. "Cohort and target age effects on subjective survival probabilities: Implications for models of the retirement phase," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 39-56.
    7. Haan, Peter & Prowse, Victoria, 2014. "Longevity, life-cycle behavior and pension reform," Journal of Econometrics, Elsevier, vol. 178(P3), pages 582-601.
    8. Mauro Mastrogiacomo & Rob Alessie, 2011. "Did you really save so little for your retirement? An analysis of retirement savings and unconventional retirement accounts," CPB Discussion Paper 200, CPB Netherlands Bureau for Economic Policy Analysis.
    9. Shor, Eran & Roelfs, David J., 2015. "Social contact frequency and all-cause mortality: A meta-analysis and meta-regression," Social Science & Medicine, Elsevier, vol. 128(C), pages 76-86.
    10. Nikolay Dimitrov & Elmar Brähler & Thomas Hering & Heide Glaesmer & Markus Zenger, 2025. "Normative values and psychometric properties of the Oslo Social Support Scale-3 (OSSS-3) for adults aged 60 to 85 years," European Journal of Ageing, Springer, vol. 22(1), pages 1-10, December.
    11. Huang, H. & Milevsky, M.A. & Salisbury, T.S., 2017. "Retirement spending and biological age," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 58-76.
    12. Sibai, Abla M. & Yount, Kathryn M. & Fletcher, Astrid, 2007. "Marital status, intergenerational co-residence and cardiovascular and all-cause mortality among middle-aged and older men and women during wartime in Beirut: Gains and liabilities," Social Science & Medicine, Elsevier, vol. 64(1), pages 64-76, January.
    13. Salm, Martin, 2006. "Can Subjective Mortality Expectations and Stated Preferences Explain Varying Consumption and Saving Behaviors among the Elderly?," IZA Discussion Papers 2467, Institute of Labor Economics (IZA).
    14. Kieren, Pascal & Weber, Martin, 2019. "When saving is not enough: The wealth decumulation decision in retirement," CFS Working Paper Series 634, Center for Financial Studies (CFS).
    15. Hayo, Bernd & Ono, Hiroyuki, 2010. "Comparing public attitudes toward providing for the livelihood of the elderly in two aging societies: Germany and Japan," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(1), pages 72-80, January.
    16. Schreiber, Philipp & Weber, Martin, 2016. "Time inconsistent preferences and the annuitization decision," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 37-55.
    17. Frank Cowell & Brian Nolan & Javier Olivera & Philippe Van Kerm, 2017. "Wealth, Top Incomes and Inequality," LWS Working papers 24, LIS Cross-National Data Center in Luxembourg.
    18. Adeline Delavande & Susann Rohwedder, 2008. "Eliciting Subjective Expectations in Internet Surveys," Working Papers 589, RAND Corporation.
    19. Gahramanov, Emin, 2013. "Survival misperception, time inconsistency, and implications for life-cycle saving and welfare," Economic Modelling, Elsevier, vol. 32(C), pages 539-550.
    20. Patrick Meyer & Gregory Ponthiere, 2020. "Human lifetime entropy in a historical perspective (1750–2014)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 14(1), pages 129-167, January.

    More about this item

    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:bla:ijhplm:v:35:y:2020:i:2:p:532-544. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    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.