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Using big data to map the relationship between time perspectives and economic outputs
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Olivola, Christopher Yves, Moat, Helen Susannah and Preis, Tobias (2019) Using big data to map the relationship between time perspectives and economic outputs. Behavioral and Brain Sciences, 42 . e206. doi:10.1017/S0140525X19000244 ISSN 0140-525X.
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WRAP-using-big-data-map-relationship-time-perspectives-outputs-Preis-2019.pdf - Accepted Version - Requires a PDF viewer. Download (649Kb) | Preview |
Official URL: https://doi.org/10.1017/S0140525X19000244
Abstract
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.
Item Type: | Journal Article | ||||||||||||
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Subjects: | B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Z Bibliography. Library Science. Information Resources > ZA Information resources |
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Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Social Sciences > Warwick Business School |
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Library of Congress Subject Headings (LCSH): | Big data , Cognitive science , Search engines , Decision making | ||||||||||||
Journal or Publication Title: | Behavioral and Brain Sciences | ||||||||||||
Publisher: | Cambridge University Press | ||||||||||||
ISSN: | 0140-525X | ||||||||||||
Official Date: | 20 November 2019 | ||||||||||||
Dates: |
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Volume: | 42 | ||||||||||||
Article Number: | e206 | ||||||||||||
DOI: | 10.1017/S0140525X19000244 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Reuse Statement (publisher, data, author rights): | This article has been published in a revised form in Behavioral and Brain Sciences [http://doi.org/10.1017/S0140525X19000244. This version is free to view and download for private research and study only. Not for re-distribution, re-sale or use in derivative works. © Cambridge University Press 2019 | ||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||
Copyright Holders: | © Cambridge University Press 2019 | ||||||||||||
Date of first compliant deposit: | 18 October 2019 | ||||||||||||
Date of first compliant Open Access: | 18 October 2019 | ||||||||||||
RIOXX Funder/Project Grant: |
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