IDEAS home Printed from https://ideas.repec.org/p/bri/cmpowp/10-255.html
   My bibliography  Save this paper

Social connectedness and retirement

Author

Listed:
  • Sarah Smith

Abstract

It has been suggested that social connectedness is potentially important for a healthy and happy retirement. This paper presents evidence that levels of social connectedness (defined as being active in social organisations) increase at retirement, by 25 per cent compared to pre-retirement levels. However, there is not a consistently strong and positive association between social connectedness and health and well-being in retirement for everyone. Rather, the evidence suggests that social connectedness may matter most in bad times.

Suggested Citation

  • Sarah Smith, 2010. "Social connectedness and retirement," The Centre for Market and Public Organisation 10/255, The Centre for Market and Public Organisation, University of Bristol, UK.
  • Handle: RePEc:bri:cmpowp:10/255
    as

    Download full text from publisher

    File URL: http://www.bristol.ac.uk/cmpo/publications/papers/2010/wp255.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brenda Gannon & Jennifer Roberts, 2012. "Social Capital: Bridging the Theory and Empirical Divide," Working Papers 2012028, The University of Sheffield, Department of Economics.
    2. Brenda Gannon & Jennifer Roberts, 2020. "Social capital: exploring the theory and empirical divide," Empirical Economics, Springer, vol. 58(3), pages 899-919, March.
    3. Eibich, Peter & Lorenti, Angelo & Mosca, Irene, 2022. "Does retirement affect voluntary work provision? Evidence from Europe and the U.S," Labour Economics, Elsevier, vol. 76(C).
    4. Brenda Gannon & Jennifer Roberts, 2014. "The Multidimensional Nature of Social Capital: An Empirical Investigation for Older People in Europe," Working Papers 2014014, The University of Sheffield, Department of Economics.
    5. Brenda Gannon & David Harris & Mark Harris, 2014. "Threshold Effects In Nonlinear Models With An Application To The Social Capital‐Retirement‐Health Relationship," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1072-1083, September.

    More about this item

    Keywords

    Social capital; retirement; health and well-being;
    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

    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:bri:cmpowp:10/255. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cmbriuk.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.