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Well-Being During Recession in the UK

Author

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  • David Bayliss

    (University of Manchester)

  • Wendy Olsen

    (University of Manchester)

  • Pierre Walthery

    (University of Oxford)

Abstract

This article explores the impact of the recent recession on the well-being of the UK working age population by comparing two measures of well-being. One is a measure of evaluative subjective well-being, a measure which previous research has shown to be stable in the UK throughout the economic crisis. The second is a different but complementary measure of positive psychological health. By comparing the trajectories of these two measures using the same sample and modelling techniques the analysis examines how different measures may lead to different interpretations. Six waves of longitudinal data from Understanding Society and the British Household Panel Survey (BHPS) are used. Latent curve models are used to analyse change over time. The results corroborate previous research showing that people’s evaluative subjective well-being remained relatively stable, on average, throughout the economic crisis. In contrast, the positive psychological health measure was found to decline significantly during the recession period. The paper highlights that what we measure matters. Using single measures as summaries of well-being masks the complexity of the term, and given their appeal in the social policy arena, single measures of well-being can be seen as problematic in some scenarios.

Suggested Citation

  • David Bayliss & Wendy Olsen & Pierre Walthery, 2017. "Well-Being During Recession in the UK," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 369-387, June.
    • Handle: RePEc:spr:ariqol:v:12:y:2017:i:2:d:10.1007_s11482-016-9465-8
    DOI: 10.1007/s11482-016-9465-8
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    Cited by:

    1. Carla Blázquez-Fernández & David Cantarero-Prieto & Marta Pascual-Sáez, 2021. "Quality of Life, Health and the Great Recession in Spain: Why Older People Matter?," IJERPH, MDPI, vol. 18(4), pages 1-8, February.
    2. Annamaria Bianchi & Silvia Biffignandi, 2019. "Social Indicators to Explain Response in Longitudinal Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 931-957, February.
    3. Nam, Taewoo, 2019. "Technology usage, expected job sustainability, and perceived job insecurity," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 155-165.

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