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Big Data Measures of Well-Being : Evidence From a Google Well-Being Index in the United States / Yann Algan ... [and others].
- Format:
- Book
- Government document
- Author/Creator:
- Algan, Yann, author.
- Series:
- OECD Statistics Working Papers 18152031 ; no.2016/03.
- OECD Statistics Working Papers 18152031 ; no.2016/03
- Language:
- English
- Subjects (All):
- Employment (Economic theory).
- Economics.
- United States.
- Local Subjects:
- United States.
- Physical Description:
- 1 online resource (37 pages).
- Place of Publication:
- Paris : OECD Publishing, 2016.
- System Details:
- text file
- Summary:
- 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.
- Notes:
- Title from title screen (viewed May 1, 2017).
- Access Restriction:
- Restricted for use by site license.
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