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Diversity Fosters Learning in Environments with Experimentation and Social Learning

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  • Cunha, Douglas
  • Monte, Daniel

Abstract

We study long-lived rational agents who learn through experimentation and observing each other’s actions. Experimentation and social learning, even when combined, often lead to learning failures as agents may stop experimenting due to the Rothschild effect or social conformity. We show that when there is diversity in preferences, there will be complete learning in the limit, thereby overcoming these learning failures. Our analysis demonstrates the critical interaction between experimentation, social learning, and diversity and provides a new rationale for the increasingly held view that diversity is crucial in institutions.

Suggested Citation

  • Cunha, Douglas & Monte, Daniel, 2023. "Diversity Fosters Learning in Environments with Experimentation and Social Learning," MPRA Paper 117095, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:117095
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    References listed on IDEAS

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    1. Rosenberg, Dinah & Solan, Eilon & Vieille, Nicolas, 2009. "Informational externalities and emergence of consensus," Games and Economic Behavior, Elsevier, vol. 66(2), pages 979-994, July.
    2. Jacob Goeree & Thomas Palfrey & Brian Rogers, 2006. "Social learning with private and common values," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 28(2), pages 245-264, June.
    3. Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
    4. Navin Kartik & SangMok Lee & Tianhao Liu & Daniel Rappoport, 2024. "Beyond Unbounded Beliefs: How Preferences and Information Interplay in Social Learning," Econometrica, Econometric Society, vol. 92(4), pages 1033-1062, July.
    5. Scott E. Carrell & Mark Hoekstra & James E. West, 2019. "The Impact of College Diversity on Behavior toward Minorities," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 159-182, November.
    6. Ali, S. Nageeb, 2018. "Herding with costly information," Journal of Economic Theory, Elsevier, vol. 175(C), pages 713-729.
    7. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-643, August.
    8. Monzón, Ignacio, 2019. "Observational learning in large anonymous games," Theoretical Economics, Econometric Society, vol. 14(2), May.
    9. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    10. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    11. Wiseman, Thomas, 2008. "Disagreement leads to complete learning: Sequential choice with continuous types," Economics Letters, Elsevier, vol. 100(1), pages 53-55, July.
    12. Johanne Boisjoly & Greg J. Duncan & Michael Kremer & Dan M. Levy & Jacque Eccles, 2006. "Empathy or Antipathy? The Impact of Diversity," American Economic Review, American Economic Association, vol. 96(5), pages 1890-1905, December.
    13. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
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    Keywords

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    JEL classification:

    • D00 - Microeconomics - - General - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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