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New ways to measure well-being? A first joint analysis of subjective and objective measures

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Abstract

Our study is, to our knowledge, the first joint analysis of subjective and objective measures of well-being. Using a rich longitudinal data from the mothers pregnancy until adulthood for a birth cohort of children who attended school in Örebro during the 1960s, we analyse in a first step how subjective (self-assessed) and objective (cortisol-based) measures of well-being are related to each other. In a second step, life-course models for these two measures are estimated and compared with each other. Despite the fact that our analysis is largely exploratory, our results suggest interesting possibilities to use objective measures to measure well-being, even though this may imply a greater degree of complexity.

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  • Andrén, Daniela & Clark, Andrew E. & D’Ambrosio, Conchita & Karlsson, Sune & Pettersson, Nicklas, 2019. "New ways to measure well-being? A first joint analysis of subjective and objective measures," Working Papers 2018:13, Örebro University, School of Business.
    • Handle: RePEc:hhs:oruesi:2018_013
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    References listed on IDEAS

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    1. Richard Layard & Andrew E. Clark & Francesca Cornaglia & Nattavudh Powdthavee & James Vernoit, 2014. "What Predicts a Successful Life? A Life‐course Model of Well‐being," Economic Journal, Royal Economic Society, vol. 124(580), pages 720-738, November.
    2. Bruno S. Frey & Alois Stutzer, 2002. "What Can Economists Learn from Happiness Research?," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 402-435, June.
    3. Rafael Di Tella & Robert MacCulloch, 2006. "Some Uses of Happiness Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 25-46, Winter.
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    1. New ways to measure well-being? A first joint analysis of subjective and objective measures
      by maximorossi in NEP-LTV blog on 2019-05-14 14:44:11

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    More about this item

    Keywords

    subjective and objective well-being; general life satisfaction; cortisol; birth-cohort data; adult; child and birth outcomes; multivariate imputation;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • D60 - Microeconomics - - Welfare Economics - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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