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Signaling, Shame, and Silence in Social Learning

Author

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  • Arun G. Chandrasekhar
  • Benjamin Golub
  • He Yang

Abstract

We examine how a social stigma of seeking information can inhibit learning. Consider a Seeker of uncertain ability who can learn about a task from an Advisor. If higher-ability Seekers need information less, then a Seeker concerned about reputation may refrain from asking to avoid signaling low ability. Separately, low-ability individuals may feel inhibited even if their ability is known and there is nothing to signal, an effect we term shame. Signaling and shame constitute an overall stigma of seeking information. We distinguish between the constituent parts of stigma in a simple model and then perform an experiment with treatments designed to detect both effects. Seekers have three days to retrieve information from paired Advisors in a field setting. The first arm varies whether needing information is correlated with ability; the second varies whether a Seeker's ability is revealed to the paired Advisor, irrespective of the seeking decision. We find that low-ability individuals do face large stigma inhibitions: there is a 55% decline in the probability of seeking when the need for information is correlated with cognitive ability. The second arm allows us to assess the contributions of signaling and shame, and, under structural assumptions, to estimate their relative magnitudes. We find signaling to be the dominant force overall. The shame effect is particularly pronounced among socially close pairs (in terms of network distance and caste co-membership) whereas signaling concerns dominate for more distant pairs.

Suggested Citation

  • Arun G. Chandrasekhar & Benjamin Golub & He Yang, 2018. "Signaling, Shame, and Silence in Social Learning," NBER Working Papers 25169, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25169
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    as
    1. Michael Kremer & Edward Miguel, 2007. "The Illusion of Sustainability," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1007-1065.
    2. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    3. Timothy Besley & Maitreesh Ghatak, 2008. "Status Incentives," American Economic Review, American Economic Association, vol. 98(2), pages 206-211, May.
    4. Kerwin Kofi Charles & Erik Hurst & Nikolai Roussanov, 2009. "Conspicuous Consumption and Race," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 425-467.
    5. , & , & ,, 2014. "Dynamics of information exchange in endogenous social networks," Theoretical Economics, Econometric Society, vol. 9(1), January.
    6. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    7. S. Nageeb Ali & Charles Lin, 2013. "Why People Vote: Ethical Motives and Social Incentives," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 73-98, May.
    8. 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.
    9. Ashraf, Nava & Bandiera, Oriana & Lee, Scott S., 2014. "Awards unbundled: Evidence from a natural field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 100(C), pages 44-63.
    10. Hanming Fang, 2006. "Disentangling The College Wage Premium: Estimating A Model With Endogenous Education Choices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1151-1185, November.
    11. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    12. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    13. Avi Goldfarb & Ryan C. McDevitt & Sampsa Samila & Brian S. Silverman, 2015. "The Effect of Social Interaction on Economic Transactions: Evidence from Changes in Two Retail Formats," Management Science, INFORMS, vol. 61(12), pages 2963-2981, December.
    14. Ori Heffetz, 2011. "A Test of Conspicuous Consumption: Visibility and Income Elasticities," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1101-1117, November.
    15. Abhijit Banerjee & Emily Brez & Arun G Chandrasekhar & Benjamin Golub, 2024. "When Less Is More: Experimental Evidence on Information Delivery During India’s Demonetisation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(4), pages 1884-1922.
    16. Tore Ellingsen & Magnus Johannesson, 2008. "Pride and Prejudice: The Human Side of Incentive Theory," American Economic Review, American Economic Association, vol. 98(3), pages 990-1008, June.
    17. repec:oup:restud:v:84:y::i:1:p:143-181. is not listed on IDEAS
    18. Paul Niehaus, 2011. "Filtered Social Learning," Journal of Political Economy, University of Chicago Press, vol. 119(4), pages 686-720.
    19. Julien Gagnon & Sanjeev Goyal, 2017. "Networks, Markets, and Inequality," American Economic Review, American Economic Association, vol. 107(1), pages 1-30, January.
    20. David Austen-Smith & Roland G. Fryer, 2005. "An Economic Analysis of "Acting White"," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 551-583.
    21. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    22. James Andreoni & Justin M. Rao & Hannah Trachtman, 2017. "Avoiding the Ask: A Field Experiment on Altruism, Empathy, and Charitable Giving," Journal of Political Economy, University of Chicago Press, vol. 125(3), pages 625-653.
    23. David Austen-Smith & Ronald G. Fryer, 2005. "An Economic Analysis of 'Acting White'," Discussion Papers 1399, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    24. Stefano Dellavigna & John A. List & Ulrike Malmendier & Gautam Rao, 2017. "Voting to Tell Others," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(1), pages 143-181.
    25. Leonardo Bursztyn & Robert Jensen, 2015. "How Does Peer Pressure Affect Educational Investments?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1329-1367.
    26. Galeotti, Andrea & Ghiglino, Christian & Squintani, Francesco, 2013. "Strategic information transmission networks," Journal of Economic Theory, Elsevier, vol. 148(5), pages 1751-1769.
    27. Calvó-Armengol, Antoni & , & ,, 2015. "Communication and influence," Theoretical Economics, Econometric Society, vol. 10(2), May.
    28. Robert Jensen, 2010. "The (Perceived) Returns to Education and the Demand for Schooling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 515-548.
    29. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    Cited by:

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    2. BenYishay, Ariel & Jones, Maria & Kondylis, Florence & Mobarak, Ahmed Mushfiq, 2020. "Gender gaps in technology diffusion," Journal of Development Economics, Elsevier, vol. 143(C).
    3. Lea Heursen & Svenja Friess & Marina Chugunova, 2023. "Reputational Concerns and Advice-Seeking at Work," Rationality and Competition Discussion Paper Series 447, CRC TRR 190 Rationality and Competition.
    4. Cullen, Zoë & Perez-Truglia, Ricardo, 2023. "The salary taboo privacy norms and the diffusion of information," Journal of Public Economics, Elsevier, vol. 222(C).
    5. Elisa Macchi, 2022. "Worth your weight: experimental evidence on the benefits of obesity in low-income countries," ECON - Working Papers 401, Department of Economics - University of Zurich.
    6. Raphael Brade, 2024. "Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance," CESifo Working Paper Series 11046, CESifo.

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    More about this item

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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