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Not Learning from Others

Author

Listed:
  • John J. Conlon
  • Malavika Mani
  • Gautam Rao
  • Matthew W. Ridley
  • Frank Schilbach

Abstract

We provide evidence of a powerful barrier to social learning: people are much less sensitive to information others discover compared to equally-relevant information they discover themselves. In a series of incentivized lab experiments, we ask participants to guess the color composition of balls in an urn after drawing balls with replacement. Participants' guesses are substantially less sensitive to draws made by another player compared to draws made themselves. This result holds when others' signals must be learned through discussion, when they are perfectly communicated by the experimenter, and even when participants see their teammate drawing balls from the urn with their own eyes. We find a crucial role for taking some action to generate one's `own' information, and rule out distrust, confusion, errors in probabilistic thinking, up-front inattention and imperfect recall as channels.

Suggested Citation

  • John J. Conlon & Malavika Mani & Gautam Rao & Matthew W. Ridley & Frank Schilbach, 2022. "Not Learning from Others," NBER Working Papers 30378, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:30378
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    References listed on IDEAS

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    1. Georg Weizsacker, 2010. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," American Economic Review, American Economic Association, vol. 100(5), pages 2340-2360, December.
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    3. Palfrey, Thomas R. & Wang, Stephanie W., 2009. "On eliciting beliefs in strategic games," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 98-109, August.
    4. David J. Cooper & John H. Kagel, 2005. "Are Two Heads Better Than One? Team versus Individual Play in Signaling Games," American Economic Review, American Economic Association, vol. 95(3), pages 477-509, June.
    5. Simonsohn, Uri & Karlsson, Niklas & Loewenstein, George & Ariely, Dan, 2008. "The tree of experience in the forest of information: Overweighing experienced relative to observed information," Games and Economic Behavior, Elsevier, vol. 62(1), pages 263-286, January.
    6. Benjamin Enke, 2020. "What You See Is All There Is," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1363-1398.
    7. Ariel BenYishay & A Mushfiq Mobarak, 2019. "Social Learning and Incentives for Experimentation and Communication," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 976-1009.
    8. Ulrike Malmendier & Stefan Nagel, 2016. "Learning from Inflation Experiences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 53-87.
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    Cited by:

    1. Gergely Hajdu & Balázs Krusper, 2023. "Choice-induced Sticky Learning," Department of Economics Working Papers wuwp349, Vienna University of Economics and Business, Department of Economics.
    2. Kashner, Daniel & Stalinski, Mateusz, 2024. "Preempting polarization: An experiment on opinion formation," Journal of Public Economics, Elsevier, vol. 234(C).

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    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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