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Multinomial choice with social interactions

  • Brock,W.A.
  • Durlauf,S.N.

    (University of Wisconsin-Madison, Social Systems Research Institute)

This paper develops a model of individual decisionmaking in the presence of social interactions when the number of available choices is finite. We show how a multinomial logit model framework may be used to model such decisions in a way that permits a tight integration of theory and econometrics. Conditions are given under which aggregate choice behavior in a population exhibits multiple self-consistent equilibria. An econometric version of the model is shown to be identified under relatively weka conditions. That analysis is extended to allow for general error distributions and some preliminary ways to account for the endogeneity of group memberships are developed.

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File URL: http://www.ssc.wisc.edu/econ/archive/wp2003-01.pdf
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Paper provided by Wisconsin Madison - Social Systems in its series Working papers with number 1.

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Date of creation: 2003
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Handle: RePEc:att:wimass:20031
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UNIVERSITY OF WISCONSIN MADISON, SOCIAL SYSTEMS RESEARCH INSTITUTE(S.S.R.I.), MADISON WISCONSIN 53706 U.S.A.

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  1. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
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