Image from Google Jackets

Taking the Pulse of Nations: a Biometric Measure of Well-being / David G. Blanchflower, Alex Bryson.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w29587.Publication details: Cambridge, Mass. National Bureau of Economic Research 2021.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Status Date due Barcode Item holds
Working Paper Biblioteca Digital Colección NBER nber w29587 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

December 2021.

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.

Hardcopy version available to institutional subscribers

System requirements: Adobe [Acrobat] Reader required for PDF files.

Mode of access: World Wide Web.

Print version record

There are no comments on this title.

to post a comment.

Powered by Koha