Social Learning in Economics

Posted: 8 Aug 2014

See all articles by Markus M. Mobius

Markus M. Mobius

Microsoft Corporation - Microsoft Research New England; University of Michigan at Ann Arbor - School of Information; National Bureau of Economic Research (NBER)

Tanya Rosenblat

University of Michigan at Ann Arbor - School of Information

Date Written: August 2014

Abstract

Social learning is a rapidly growing field for empirical and theoretical research in economics. We encounter social learning in many economically important phenomena, such as the adoption of new products and technologies or job search in labor markets. We review the existing empirical and theoretical literatures and argue that they have evolved largely independently of each other. This suggests several directions for future research that can help bridge the gap between both literatures. For example, the theory literature has come up with several models of social learning, ranging from naïve DeGroot models to sophisticated Bayesian models whose assumptions and predictions need to be empirically tested. Alternatively, empiricists have often observed that social learning is more localized than existing theory models assume, and that information can decay along a transmission path. Incorporating these findings into our models might require theorists to look beyond asymptotic convergence in social learning.

Suggested Citation

Mobius, Markus M. and Mobius, Markus M. and Rosenblat, Tanya, Social Learning in Economics (August 2014). Annual Review of Economics, Vol. 6, pp. 827-847, 2014, Available at SSRN: https://ssrn.com/abstract=2477782 or http://dx.doi.org/10.1146/annurev-economics-120213-012609

Markus M. Mobius (Contact Author)

Microsoft Corporation - Microsoft Research New England ( email )

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HOME PAGE: http://www.markusmobius.org

University of Michigan at Ann Arbor - School of Information ( email )

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HOME PAGE: http://www.markusmobius.org

National Bureau of Economic Research (NBER) ( email )

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HOME PAGE: http://www.markusmobius.org

Tanya Rosenblat

University of Michigan at Ann Arbor - School of Information ( email )

304 West Hall
550 East University
Ann Arbor, MI 48109-1092
United States

HOME PAGE: http://www.tanyarosenblat.org

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