Language:
English
Pages:
1 Online-Ressource (circa 38 Seiten)
,
graph. Darst.
Series Statement:
OECD statistics working papers 2016, 03
Keywords:
Zufriedenheit
;
Sozialer Indikator
;
Suchmaschine
;
Webanalyse
;
USA
;
Employment
;
Economics
;
United States
;
Amtsdruckschrift
;
Arbeitspapier
;
Graue Literatur
Abstract:
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.
Note:
Zusammenfassung in französischer Sprache
DOI:
10.1787/5jlz9hpg0rd1-en
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