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Taking the Pulse of Nations: a Biometric Measure of Well-being

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  • David G. Blanchflower
  • Alex Bryson

Abstract

A growing literature identifies associations between subjective and biometric indicators of wellbeing. These associations, together with the ability of subjective wellbeing (SWB) metrics to predict health and behavioral outcomes, have spawned increasing interest in SWB as an important concept in its own right. However, some social scientists continue to question the usefulness of SWB metrics. We contribute to this literature in three ways. First, we introduce a biometric measure of wellbeing – pulse – which has been largely overlooked. Using nationally representative data on 165,000 individuals from the Health Survey for England (HSE) and Scottish Health Surveys (SHeS) we show that its correlates are similar in a number of ways to those for SWB, and that it is highly correlated with SWB metrics, as well as self-assessed health. Second, we examine the determinants of pulse rates in mid-life (age 42) among the 9,000 members of the National Child Development Study (NCDS), a birth cohort born in a single week in 1958 in Britain. Third, we track the impact of pulse measured in mid-life (age 42) on health and labor market outcomes at age 50 in 2008 and age 55 in 2013. The probability of working at age 55 is negatively impacted by pulse rate a decade earlier. The pulse rate has an impact over and above chronic pain measured at age 42. General health at 55 is lower the higher the pulse rate at age 42, while those with higher pulse rates at 42 also express lower life satisfaction and more pessimism about the future at age 50. Taken together, these results suggest social scientists can learn a great deal by adding pulse rates to the metrics they use when evaluating people’s wellbeing.

Suggested Citation

  • David G. Blanchflower & Alex Bryson, 2021. "Taking the Pulse of Nations: a Biometric Measure of Well-being," NBER Working Papers 29587, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29587
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    Cited by:

    1. Naomi Friedman-Sokuler & Claudia Senik, 2022. "Time-Use and Subjective Well-Being: Is there a Preference for Activity Diversity?," PSE Working Papers halshs-03828272, HAL.
    2. Decerf,Benoit Marie A, 2024. "Multidimensional Well-Being Measurement Practices : A Review Focused on Improving Global Multidimensional Poverty Indicators," Policy Research Working Paper Series 10800, The World Bank.
    3. David Blanchflower & Alex Bryson, 2024. "The Gender Well-Being Gap," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 1-45, July.
    4. Blanchflower, David G. & Bryson, Alex, 2024. "The adult consequences of being bullied in childhood," Social Science & Medicine, Elsevier, vol. 345(C).
    5. Macchia, Lucía, 2022. "Pain trends and pain growth disparities, 2009–2021," Economics & Human Biology, Elsevier, vol. 47(C).
    6. David G. Blanchflower & Alex Bryson, 2024. "Wellbeing Rankings," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 171(2), pages 513-565, January.
    7. David G Blanchflower & Alex Bryson, 2024. "Were COVID and the Great Recession well-being reducing?," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-34, November.

    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J1 - Labor and Demographic Economics - - Demographic Economics

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