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Keeping conceptual boundaries distinct between decision making and learning is necessary to understand social influence

Published online by Cambridge University Press:  26 February 2014

Gaël Le Mens*
Affiliation:
Department of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain. [email protected]://www.econ.upf.edu/~glemens/

Abstract

Bentley et al. make the deliberate choice to blur the distinction between learning and decision making. This obscures the social influence mechanisms that operate in the various empirical settings that their map aims to categorize. Useful policy prescriptions, however, require an accurate understanding of the social influence mechanisms that underlie the dynamics of popularity.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2014 

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References

Arthur, W. (1989) Competing technologies, increasing returns, and lock-in by historical events. The Economic Journal 99:116–31.Google Scholar
Bikhchandani, S., Hirshleifer, D. & Welch, I. (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy 100(5):9921026.Google Scholar
Denrell, J. & Le Mens, G. (2007) Interdependent sampling and social influence. Psychological Review 114(2):398422. doi:10.1037/0033-295X.114.2.398.Google Scholar
Denrell, J. & Le Mens, G. (2013) Information sampling, conformity and collective mistaken beliefs. In: Proceedings of the 35th Annual Conference of the Cognitive Science Society, ed. Knauff, M., Pauen, M., Sebanz, N. & Wachsmuth, I., pp. 2177–82. Cognitive Science Society.Google Scholar
Salganik, M. J., Dodds, P. S. & Watts, D. J. (2006) Experimental study of inequality and unpredictability in an artificial cultural market. Science 311(5762):854–56. doi:10.1126/science.1121066.CrossRefGoogle Scholar