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

  • Christopher Y. Olivola (a1) (a2), Helen Susannah Moat (a3) (a4) and Tobias Preis (a3) (a4)
  • Please note a correction has been issued for this article.

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.

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Moat, H. S., Olivola, C. Y., Preis, T. & Chater, N. (2016) Searching choices: Quantifying decision making processes using search engine data. Topics in Cognitive Science 8(3):685–96.
Moat, H. S., Preis, T., Olivola, C. Y., Liu, C. & Chater, N. (2014) Using big data to predict collective behavior in the real world. Behavioral and Brain Sciences 37:9293.
Noguchi, T., Stewart, N., Olivola, C. Y., Moat, H. S. & Preis, T. (2014) Characterizing the time-perspective of nations with search engine query data. PLoS One 9(4): e95209.
Olivola, C. Y. & Chater, N. (2017) Decision by sampling: Connecting preferences to real-world regularities. In: Big data in cognitive science, ed. Jones, M. N.. Routledge.
Preis, T., Moat, H. S., Stanley, H. E. & Bishop, S. R. (2012) Quantifying the advantage of looking forward. Scientific Reports 2:350.
Read, D., Olivola, C. Y. & Hardisty, D. J. (2017) The value of nothing: Asymmetric attention to opportunity costs drives intertemporal decision making. Management Science 63(12):4277–97.
Stewart, N., Chater, N. & Brown, G. D. A. (2006) Decision by sampling. Cognitive Psychology 53:126.

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

  • Christopher Y. Olivola (a1) (a2), Helen Susannah Moat (a3) (a4) and Tobias Preis (a3) (a4)
  • Please note a correction has been issued for this article.

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