IDEAS home Printed from https://ideas.repec.org/a/sae/socres/v16y2011i4p44-55.html
   My bibliography  Save this article

Identifying the Third Agers: An Analysis of British Retirees' Leisure Pursuits

Author

Listed:
  • Stella Chatzitheochari
  • Sara Arber

Abstract

Despite the recent theoretical focus on the emergence of the Third Age as a period of fulfilment and an ongoing engagement with an active leisure lifestyle, there is a dearth of quantitative studies on how older people spend their time. Few studies of later life capitalise on time-use surveys, which constitute the most widely employed and accurate methodology for collecting data on everyday life. This article analyses data from the 2000 UK Time Use Survey in order to operationalise the concept of the Third Age and test theoretical propositions regarding the irrelevance of social divisions in the formation of an active leisure lifestyle after retirement. The analysis focuses on a subsample of 1615 people over the age of 64. An index of active leisure activities is constructed in order to estimate the proportion of third agers amongst British retirees. Logistic regression models are specified to examine the relative influence of socio-demographic characteristics on the probability of a person being a third ager. Strong effects of structural factors and health are found, which do not support arguments suggesting a minor influence of social context in lifestyle choices after retirement. ‘Active’ ageing appears to be the province of those who are culturally and materially advantaged, and it is the healthy, educated, upper-class and middle-class men that are more likely to engage in a Third Age leisure lifestyle.

Suggested Citation

  • Stella Chatzitheochari & Sara Arber, 2011. "Identifying the Third Agers: An Analysis of British Retirees' Leisure Pursuits," Sociological Research Online, , vol. 16(4), pages 44-55, December.
  • Handle: RePEc:sae:socres:v:16:y:2011:i:4:p:44-55
    DOI: 10.5153/sro.2451
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5153/sro.2451
    Download Restriction: no

    File URL: https://libkey.io/10.5153/sro.2451?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. Katharine G. Abraham & Aaron Maitland & Suzanne M. Bianchi, 2006. "Non-response in the American Time Use Survey: Who Is Missing from the Data and How Much Does It Matter?," NBER Technical Working Papers 0328, National Bureau of Economic Research, Inc.
    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. Bertil Vilhelmson & Eva Thulin & Erik Elldér, 2022. "Is ageing becoming more active? Exploring cohort-wise changes in everyday time use among the older population in Sweden," European Journal of Ageing, Springer, vol. 19(3), pages 447-461, September.

    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. Michael Osei Mireku & Alina Rodriguez, 2021. "Sleep Duration and Waking Activities in Relation to the National Sleep Foundation’s Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    2. Jens Bonke & Mette Deding & Mette Lausten & Leslie S. Stratton, 2008. "Intra‐Household Specialization in Housework in the United States and Denmark," Social Science Quarterly, Southwestern Social Science Association, vol. 89(4), pages 1023-1043, December.
    3. Arenas-Arroyo, Esther & Schmidpeter, Bernhard, 2022. "Spillover effects of immigration policies on children's human capital," Ruhr Economic Papers 974, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Borgschulte, Mark & Cho, Heepyung & Lubotsky, Darren, 2022. "Partisanship and survey refusal," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 332-357.
    5. Han, Jeehoon & Meyer, Bruce D. & Sullivan, James X., 2020. "Inequality in the joint distribution of consumption and time use," Journal of Public Economics, Elsevier, vol. 191(C).
    6. McCarthy, Jaki S. & Jacob, Thomas & McCraken, Amanda, 2010. "Modeling Non-response in National Agricultural Statistics Service (NASS) Surveys Using Classification Trees," NASS Research Reports 235029, United States Department of Agriculture, National Agricultural Statistics Service.
    7. Jay Stewart & Harley Frazis, 2019. "The importance and challenges of measuring work hours," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-95, July.
    8. Switek, Maggie, 2012. "Internal Migration and Life Satisfaction: Well-Being Effects of Moving as a Young Adult," IZA Discussion Papers 7016, Institute of Labor Economics (IZA).
    9. Malgorzata Switek, 2016. "Internal Migration and Life Satisfaction: Well-Being Paths of Young Adult Migrants," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 191-241, January.
    10. Felderer Barbara & Kirchner Antje & Kreuter Frauke, 2019. "The Effect of Survey Mode on Data Quality: Disentangling Nonresponse and Measurement Error Bias," Journal of Official Statistics, Sciendo, vol. 35(1), pages 93-115, March.
    11. Joshua Graff Zivin & Matthew Neidell, 2014. "Temperature and the Allocation of Time: Implications for Climate Change," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 1-26.
    12. repec:ags:unassr:235029 is not listed on IDEAS
    13. Juan Du & Takeshi Yagihashi, 2017. "Goods–Time Elasticity of Substitution in Health Production," Health Economics, John Wiley & Sons, Ltd., vol. 26(11), pages 1474-1478, November.
    14. Isabella Buber-Ennser, 2014. "Attrition in the Austrian Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(16), pages 459-496.
    15. Stella Chatzitheochari & Sara Arber, 2009. "Lack of sleep, work and the long hours culture: evidence from the UK Time Use Survey," Work, Employment & Society, British Sociological Association, vol. 23(1), pages 30-48, March.
    16. Kristen Olson, 2013. "Paradata for Nonresponse Adjustment," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 142-170, January.
    17. John Cawley & Feng Liu, 2007. "Mechanisms for the Association Between Maternal Employment and Child Cognitive Development," NBER Working Papers 13609, National Bureau of Economic Research, Inc.
    18. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    19. Cawley, John & Liu, Feng, 2012. "Maternal employment and childhood obesity: A search for mechanisms in time use data," Economics & Human Biology, Elsevier, vol. 10(4), pages 352-364.
    20. Switek, Maggie, 2013. "Explaining Well-Being over the Life Cycle: A Look at Life Transitions during Young Adulthood," IZA Discussion Papers 7877, Institute of Labor Economics (IZA).
    21. Laura Fumagalli & Heather Laurie & Peter Lynn, 2013. "Experiments with methods to reduce attrition in longitudinal surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 499-519, February.

    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:sae:socres:v:16:y:2011:i:4:p:44-55. 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: SAGE Publications (email available below). General contact details of provider: .

    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.