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Time Use, Unemployment, and Well-Being: An Empirical Analysis Using British Time-Use Data

Author

Listed:
  • Thi Truong An Hoang

    (Otto-von-Guericke University Magdeburg)

  • Andreas Knabe

    (Otto-von-Guericke University Magdeburg
    CESifo
    IWH)

Abstract

We use nationally representative data from the UK Time-Use Survey 2014/2015 to investigate how a person’s employment status is related to time use and cognitive and affective dimensions of subjective well-being. We do not find clear indications that employed and unemployed persons experience different average levels of emotional well-being when they engage in the same kinds of activities. For the employed, working belongs to one of the least enjoyable activities of their day. They also spend a large share of their time at work and on work-related activities. The unemployed, instead, spend more time on leisure and more enjoyable activities. When looking at duration-weighted average affective well-being over the entire waking time of the day, the unemployed experience, on average, more enjoyment than the employed. For the employed, the more hours they have to work on a specific day, the lower the average enjoyment they experience on that day. Differentiating the analyses by weekdays and weekends supports the finding that being able to freely allocate one’s non-work time is associated with higher levels of affective well-being. In line with previous studies on cognitive well-being, we find that the unemployed report substantially lower levels of life satisfaction than the employed.

Suggested Citation

  • Thi Truong An Hoang & Andreas Knabe, 2021. "Time Use, Unemployment, and Well-Being: An Empirical Analysis Using British Time-Use Data," Journal of Happiness Studies, Springer, vol. 22(6), pages 2525-2548, August.
  • Handle: RePEc:spr:jhappi:v:22:y:2021:i:6:d:10.1007_s10902-020-00320-x
    DOI: 10.1007/s10902-020-00320-x
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    1. Zheng, Hongyun & Vatsa, Puneet & Ma, Wanglin & Zhou, Xiaoshou, 2023. "Working hours and job satisfaction in China: A threshold analysis," China Economic Review, Elsevier, vol. 77(C).
    2. Francesco Bogliacino & Cristiano Codagnone & Frans Folkvord & Francisco Lupiáñez-Villanueva, 2023. "The impact of labour market shocks on mental health: evidence from the Covid-19 first wave," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(3), pages 899-930, October.
    3. José Ignacio Giménez-Nadal & José Alberto Molina & Jorge Velilla, 2023. "Should We Cheer Together? Gender Differences in Instantaneous Well-being: An Application to COVID-19 Lockdowns," Journal of Happiness Studies, Springer, vol. 24(2), pages 529-562, February.
    4. Matteo Picchio & Michele Ubaldi, 2024. "Unemployment and health: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1437-1472, September.
    5. Filip Fors Connolly & Tommy Gärling, 2022. "Mediators of Differences Between Employed and Unemployed in Life Satisfaction and Emotional Well-being," Journal of Happiness Studies, Springer, vol. 23(4), pages 1637-1651, April.
    6. Thi Truong An Hoang & Andreas Knabe, 2022. "Social Contacts, Unemployment, and Experienced Well-Being. Evidence from Time-Use Data," CESifo Working Paper Series 9953, CESifo.
    7. Tobias Wolf & Maria Metzing & Richard E. Lucas, 2022. "Experienced Well-Being and Labor Market Status: The Role of Pleasure and Meaning," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 691-721, September.
    8. Sean Urwin & Yiu‐Shing Lau & Gunn Grande & Matt Sutton, 2023. "Informal caregiving, time use and experienced wellbeing," Health Economics, John Wiley & Sons, Ltd., vol. 32(2), pages 356-374, February.
    9. Wolf, Tobias, 2020. "Welfare while working: How does the life satisfaction approach help to explain job search behavior?," Discussion Papers 2020/14, Free University Berlin, School of Business & Economics.

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    More about this item

    Keywords

    Unemployment; Happiness; Affective well-being; Time use; Day reconstruction method;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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