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Categorization and Coordination

  • Vessela Daskalova

    ()

    (University of Cambridge)

  • Nicolaas J. Vriend

    ()

    (Queen Mary University of London)

The use of coarse categories is prevalent in various situations and has been linked to biased economic outcomes, ranging from discrimination against minorities to empirical anomalies in financial markets. In this paper we study economic rationales for categorizing coarsely. We think of the way one categorizes one's past experiences as a model of the world that is used to make predictions about unobservable attributes in new situations. We first show that coarse categorization may be optimal for making predictions in stochastic environments in which an individual has a limited number of past experiences. Building on this result, and this is a key new insight from our paper, we show formally that cases in which people have a motive to coordinate their predictions with others may provide an economic rationale for categorizing coarsely. Our analysis explains the intuition behind this rationale.

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File URL: http://econ.qmul.ac.uk/research/workingpapers/2014/Items/docs/719.pdf
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Paper provided by Queen Mary University of London, School of Economics and Finance in its series Working Papers with number 719.

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Date of creation: May 2014
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Handle: RePEc:qmw:qmwecw:wp719
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  16. Azrieli, Yaron, 2010. "Categorization and correlation in a random-matching game," Journal of Mathematical Economics, Elsevier, vol. 46(3), pages 303-310, May.
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  18. Paola Manzini & Marco Mariotti, 2012. "Categorize Then Choose: Boundedly Rational Choice And Welfare," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1141-1165, October.
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