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Big Data Measures of Well-Being: Evidence From a Google Well-Being Index in the United States


  • Yann Algan

    (Sciences Po, Paris)

  • Elizabeth Beasley


  • Florian Guyot

    (Sciences Po, Paris)

  • Kazuhito Higa

    (Kyushu University)

  • Fabrice Murtin


  • Claudia Senik

    (Paris School of Economics)


We build an indicator of individual subjective well-being in the United States based on Google Trends. The indicator is a combination of keyword groups that are endogenously identified to fit with the weekly time-series of subjective well-being measures disseminated by Gallup Analytics. We find that keywords associated with job search, financial security, family life and leisure are the strongest predictors of the variations in subjective well-being. The model successfully predicts the out-of-sample evolution of most subjective well-being measures at a one-year horizon. Un indicateur de bien-être subjectif est construit pour les États-Unis sur la base des données de Google Trends. L’indicateur est une combinaison de mots-clés qui sont identifiés pour reproduire les séries hebdomadaires de bien-être subjectif de Gallup Analytics. Nous trouvons que les mots-clés associés à la recherche d’emploi, à la sécurité financière, à la vie de famille et aux loisirs sont les plus forts prédicteurs des variations du bien-être subjectif. Le modèle prévoit l’évolution hors échantillon de la plupart des mesures de bien-être à l’horizon d’un an.

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  • Yann Algan & Elizabeth Beasley & Florian Guyot & Kazuhito Higa & Fabrice Murtin & Claudia Senik, 2016. "Big Data Measures of Well-Being: Evidence From a Google Well-Being Index in the United States," OECD Statistics Working Papers 2016/3, OECD Publishing.
  • Handle: RePEc:oec:stdaaa:2016/3-en

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    1. repec:ris:apltrx:0343 is not listed on IDEAS
    2. Arnaud Joskin, 2017. "Working Paper 04-17 - Qu’est-ce qui compte pour les Belges ? Analyse des déterminants du bien-être individuel en Belgique
      [Working Paper 04-17 - Wat telt voor de Belgen? Analyse van de determinante
      ," Working Papers 1704, Federal Planning Bureau, Belgium.

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