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Stereotypes

Author

Listed:
  • Pedro Bordalo
  • Katherine Coffman
  • Nicola Gennaioli
  • Andrei Shleifer

Abstract

We present a model of stereotypes based on Kahneman and Tversky?s representativeness heuristic. A decision maker assesses a target group by overweighting its representative types, defined as the types that occur more frequently in that group than in a baseline reference group. Stereotypes formed this way contain a ??kernel of truth??: they are rooted in true differences between groups. Because stereotypes focus on differences, they cause belief distortions, particularly when groups are similar. Stereotypes are also context dependent: beliefs about a group depend on the characteristics of the reference group. In line with our predictions, beliefs in the lab about abstract groups and beliefs in the field about political groups are context dependent and distorted in the direction of representative types. JEL Codes: D03, D83, D84, C91.

Suggested Citation

  • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, "undated". "Stereotypes," Working Paper 467407, Harvard University OpenScholar.
    • Handle: RePEc:qsh:wpaper:467407
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    File URL: http://scholar.harvard.edu/shleifer/node/467407
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    Other versions of this item:

    • Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2014. "Stereotypes," NBER Working Papers 20106, National Bureau of Economic Research, Inc.
    • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, "undated". "Stereotypes," Working Paper 373306, Harvard University OpenScholar.
    • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, 2014. "Stereotypes," Working Paper 200246, Harvard University OpenScholar.

    Citations

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    Cited by:

    1. is not listed on IDEAS
    2. Principe, Francesco & van Ours, Jan C., 2022. "Racial bias in newspaper ratings of professional football players," European Economic Review, Elsevier, vol. 141(C).
    3. David Arnold & Will Dobbie & Crystal S Yang, 2018. "Racial Bias in Bail Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1885-1932.
    4. Muriel Niederle, 2014. "Gender," NBER Working Papers 20788, National Bureau of Economic Research, Inc.
    5. Michelle Rendall & Andrew Rendall, 2013. "Math Matters: Student Ability, College Majors, and Wage Inequality," 2013 Meeting Papers 1196, Society for Economic Dynamics.

    More about this item

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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