IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/110530.html
   My bibliography  Save this paper

Trends and inequality in the new active ageing and well-being index of the oldest old: a case study of Sweden

Author

Listed:
  • Fritzell, Johan
  • Lennartsson, Carin
  • Zaidi, Asghar

Abstract

The policy discourse on active ageing and well-being at the European level tends to have a strong focus on the experiences of the ‘young old’. In this study the focus instead is on the oldest old (75 years and older). The theoretical framework is inspired by the Active Ageing Index and the Nordic welfare research tradition. Active ageing and well-being indicators and domains of high relevance for the oldest old are used and a new Active Ageing-Well Being Index (AA-WB Index) is developed. Our aim is to go beyond averages and analyse changes over time and inequality in the AA-WB Index. The prime data is derived from two waves, 2004 and 2014, of the Swedish Panel Study of Living Conditions of the Oldest Old (SWEOLD), a nationally representative sample of older people. The results show an overall improvement in most domains of the AA-WB index, especially in the indicator participation in cultural and leisure activities. The findings also show clear and consistent gender and educational inequalities. In addition, the different domains correlate, implying that inequality within a domain is aggravated by the inequality in another domain. The study highlights that measurements on active ageing and well-being should place a greater importance on the living conditions of the oldest old with a special focus on inequality.

Suggested Citation

  • Fritzell, Johan & Lennartsson, Carin & Zaidi, Asghar, 2021. "Trends and inequality in the new active ageing and well-being index of the oldest old: a case study of Sweden," LSE Research Online Documents on Economics 110530, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:110530
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/110530/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rasmus Hoffmann, 2011. "Illness, Not Age, Is the Leveler of Social Mortality Differences in Old Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(3), pages 374-379.
    2. Atkinson, Tony & Cantillon, Bea & Marlier, Eric & Nolan, Brian, 2002. "Social Indicators: The EU and Social Inclusion," OUP Catalogue, Oxford University Press, number 9780199253494.
    3. Tony Atkinson & Bea Cantillon & Eric Marlier & Brian Nolan, 2002. "Indicators for Social Inclusion," Politica economica, Società editrice il Mulino, issue 1, pages 7-28.
    4. Ross Andel & Michael Crowe & Ingemar Kåreholt & Jonas Wastesson & Marti G. Parker, 2011. "Indicators of Job Strain at Midlife and Cognitive Functioning in Advanced Old Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(3), pages 287-291.
    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. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    2. Manos Matsaganis & Chrysa Leventi, 2011. "The distributional impact of the crisis in Greece," DEOS Working Papers 1124, Athens University of Economics and Business.
    3. Menon Martina & Perali Federico & Veronesi Marcella, 2017. "“Leaving No Child Behind:” Preferences for Social Inclusion and Altruism," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(3), pages 1-19, July.
    4. Sabina Alkire & Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," Human Development Research Papers (2009 to present) HDRP-2010-11, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    5. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    6. Vani K. Borooah & Paddy Hillyard & Mike Tomlinson, 2006. "Equity‐Sensitive Indicators Of Living Standards With An Application To Northern Ireland," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(5), pages 616-635, November.
    7. Wei Su & Gianni Betti & Baris Ucar, 2020. "Longitudinal measures of fuzzy poverty: a focus on Czechia, Hungary and Poland after the crisis," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 27-41, February.
    8. Vincent Hildebrand & Philippe Kerm, 2009. "Income inequality and self-rated health status: Evidence from the european community household panel," Demography, Springer;Population Association of America (PAA), vol. 46(4), pages 805-825, November.
    9. Espinoza-Delgado, José & López-Laborda, Julio, 2017. "Nicaragua: evolución de la pobreza multidimensional, 2001-2009," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    10. Bea Cantillon, 2010. "Disambiguating Lisbon. Growth, Employment and Social Inclusion in the Investment State," Working Papers 1007, Herman Deleeck Centre for Social Policy, University of Antwerp.
    11. Brandolini, Andrea & Micklewright, John, 2020. "Tony Atkinson's New Book, Measuring Poverty around the World: Some Further Reflections," IZA Discussion Papers 12890, Institute of Labor Economics (IZA).
    12. Sabina Alkire & Suman Seth, 2013. "Selecting a Targeting Method to Identify BPL Households in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 417-446, June.
    13. H. Xavier Jara & Erik Schokkaert, 2017. "Putting measures of individual well-being to use for ex-ante policy evaluation," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 421-440, December.
    14. Tim Goedemé & Karel Van den Bosch & Lina Salanauskaite & Gerlinde Verbist, 2013. "Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note," ImPRovE Working Papers 13/10, Herman Deleeck Centre for Social Policy, University of Antwerp.
    15. Pierre Pestieau, 2009. "Assessing The Performance Of The Public Sector," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 80(1), pages 133-161, March.
    16. Miki Malul & Daniel Shapira & Amir Shoham, 2013. "Practical modified Gini index," Applied Economics Letters, Taylor & Francis Journals, vol. 20(4), pages 324-327, March.
    17. Andrea Garnero & Stephan Kampelmann & François Rycx, 2015. "Sharp Teeth or Empty Mouths? European Institutional Diversity and the Sector-Level Minimum Wage Bite," British Journal of Industrial Relations, London School of Economics, vol. 53(4), pages 760-788, December.
    18. Alfio Cerami, 2003. "The Impact of Social Transfers in Central and Eastern Europe," LIS Working papers 356, LIS Cross-National Data Center in Luxembourg.
    19. Stephen Jenkins & Philippe Van Kerm, 2014. "The Relationship Between EU Indicators of Persistent and Current Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(2), pages 611-638, April.
    20. Franz F. Eiffe & Karin Heitzmann, 2006. "Armut im Kontext reicher Staaten: zur wissenschaftlichen Operationalisierung eines normativen Begriffs," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(1), pages 43-57.

    More about this item

    Keywords

    active ageing; inequality; multidimensionality; oldest old; wellbeing;
    All these keywords.

    JEL classification:

    • N0 - Economic History - - 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:ehl:lserod:110530. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.