Using big data to map the relationship between time perspectives and economic outputs.


Journal

The Behavioral and brain sciences
ISSN: 1469-1825
Titre abrégé: Behav Brain Sci
Pays: England
ID NLM: 7808666

Informations de publication

Date de publication:
20 11 2019
Historique:
entrez: 21 11 2019
pubmed: 21 11 2019
medline: 21 11 2019
Statut: epublish

Résumé

Recent studies have shown that population-level time perspectives can be approximated using "big data" on search engine queries, and that these indices, in turn, predict the per-capita Gross Domestic Product of countries. Although these findings seem to support Baumard's suggestion that affluence makes people more future-oriented, they also reveal a more complex relationship between time perspectives and economic outputs.

Identifiants

pubmed: 31744575
doi: 10.1017/S0140525X19000244
pii: S0140525X19000244
doi:

Types de publication

Journal Article Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

e206

Commentaires et corrections

Type : CommentOn
Type : CommentIn
Type : ErratumIn

Auteurs

Christopher Y Olivola (CY)

Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213olivola@cmu.eduhttps://sites.google.com/site/chrisolivola/.
Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213.

Helen Susannah Moat (HS)

Data Science Lab, Behavioural Science Group, Warwick Business School, University of Warwick, Coventry CV4 7AL, United KingdomSuzy.Moat@wbs.ac.ukTobias.Preis@wbs.ac.ukhttp://www.wbs.ac.uk/about/person/suzy-moat/http://www.wbs.ac.uk/about/person/tobias-preis/.
The Alan Turing Institute, British Library, London NW1 2DB, United Kingdom.

Tobias Preis (T)

Data Science Lab, Behavioural Science Group, Warwick Business School, University of Warwick, Coventry CV4 7AL, United KingdomSuzy.Moat@wbs.ac.ukTobias.Preis@wbs.ac.ukhttp://www.wbs.ac.uk/about/person/suzy-moat/http://www.wbs.ac.uk/about/person/tobias-preis/.
The Alan Turing Institute, British Library, London NW1 2DB, United Kingdom.

Classifications MeSH