Well-being through the lens of the internet

We build models to estimate well-being in the United States based on changes in the volume of internet searches for different words, obtained from the Google Trends website. The estimated well-being series are weighted combinations of word groups that are endogenously identified to fit the weekly su...

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Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2019-01, Vol.14 (1), p.e0209562-e0209562
Hauptverfasser:	Algan, Yann, Murtin, Fabrice, Beasley, Elizabeth, Higa, Kazuhito, Senik, Claudia
Format:	Artikel
Sprache:	eng
Schlagworte:	Biology and Life Sciences Computer and Information Sciences Computer Simulation Data processing Economics and Finance Election results Forecasting - methods Habits Healthy Lifestyle Humanities and Social Sciences Humans Information Seeking Behavior Internet Internet - trends Mathematical models People and places Polls & surveys Population (statistical) Presidential elections Psychological factors Quality of Life - psychology Quantitative analysis Research and Analysis Methods Search Engine - trends Search engines Social media Social networks Social Sciences Statistical analysis Statistics (Mathematics) Trends United States Websites Well being
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