Well-being through the Lens of the Internet
Yann Algan
(1)
,
Fabrice Murtin
(2, 3)
,
Elizabeth Beasley
(4)
,
Kazuhito Higa
(5)
,
Claudia Senik
(6, 7)
1
ECON -
Département d'économie (Sciences Po)
2 Sciences Po - Sciences Po
3 OCDE - Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development
4 CEPREMAP - Centre pour la recherche économique et ses applications
5 Hitotsubashi University
6 PSE - Paris School of Economics
7 PJSE - Paris Jourdan Sciences Economiques
2 Sciences Po - Sciences Po
3 OCDE - Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development
4 CEPREMAP - Centre pour la recherche économique et ses applications
5 Hitotsubashi University
6 PSE - Paris School of Economics
7 PJSE - Paris Jourdan Sciences Economiques
Yann Algan
- Fonction : Auteur
- PersonId : 967934
- IdHAL : yann-algan
- ORCID : 0000-0002-8120-5969
- IdRef : 061677396
Fabrice Murtin
- Fonction : Auteur
- PersonId : 1321643
Elizabeth Beasley
- Fonction : Auteur
- PersonId : 1037216
Claudia Senik
- Fonction : Auteur
- PersonId : 743549
- IdHAL : claudia-senik
- ORCID : 0000-0001-6236-9389
- IdRef : 035112328
Résumé
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 subjective well-being measures collected by Gallup Analytics for the United States or the biannual measures for the 50 states. Our approach combines theoretical underpinnings and statistical analysis, and the model we construct successfully estimates the out-of-sample evolution of most subjective well-being measures at a one-year horizon. Our analysis suggests that internet search data can be a complement to traditional survey data to measure and analyze the well-being of a population at high frequency and local geographic levels. We highlight some factors that are important for well-being, as we find that internet searches associated with job search, civic participation, and healthy habits consistently predict well-being across several models, datasets and use cases during the period studied.
Domaines
Economies et financesFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Well-being through the Lens of the Internet
|
Résumé |
en
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 subjective well-being measures collected by Gallup Analytics for the United States or the biannual measures for the 50 states. Our approach combines theoretical underpinnings and statistical analysis, and the model we construct successfully estimates the out-of-sample evolution of most subjective well-being measures at a one-year horizon. Our analysis suggests that internet search data can be a complement to traditional survey data to measure and analyze the well-being of a population at high frequency and local geographic levels. We highlight some factors that are important for well-being, as we find that internet searches associated with job search, civic participation, and healthy habits consistently predict well-being across several models, datasets and use cases during the period studied.
|
Auteur(s) |
Yann Algan
1
, Fabrice Murtin
2, 3
, Elizabeth Beasley
4
, Kazuhito Higa
5
, Claudia Senik
6, 7
1
ECON -
Département d'économie (Sciences Po)
( 226874 )
- 28 rue des Saints-Pères - 75007 Paris
- France
2
Sciences Po -
Sciences Po
( 301587 )
- 27, rue Saint-Guillaume - 75337 Paris cedex 07
- France
3
OCDE -
Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development
( 310903 )
- Organisation for Economic Co-operation and Development (OECD)
2, rue André Pascal 75775 Paris Cedex 16
- France
4
CEPREMAP -
Centre pour la recherche économique et ses applications
( 300479 )
- Ecole normale supérieure (ENS)
48 boulevard Jourdan, 75014 Paris
- France
5
Hitotsubashi University
( 485038 )
- 2-1 Naka Kunitachi-shi 186-8601 Tokyo Japan
- Japon
6
PSE -
Paris School of Economics
( 301309 )
- 48 boulevard Jourdan 75014 Paris
- France
7
PJSE -
Paris Jourdan Sciences Economiques
( 1171428 )
- 48 boulevard Jourdan 75014 Paris
- France
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Non spécifiée
|
Date de publication |
2019-01
|
Volume |
14
|
Numéro |
1
|
Page/Identifiant |
1 - 23
|
Date de production/écriture |
2019-01-01
|
Projet(s) Européen(s) |
|
Domaine(s) |
|
Référence interne |
|
DOI | 10.1371/journal.pone.0209562 |
Spire (Sciences Po) | 2441/63csdfkqvu9nfanvuffe3qk8r6 |
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2019-algan-et-al-well-being-through-the-lens-of-the-internet.pdf ( 1.97 Mo
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