IDEAS home Printed from https://ideas.repec.org/a/ucp/jpolec/doi10.1086-662627.html
   My bibliography  Save this article

Filtered Social Learning

Author

Listed:
  • Paul Niehaus

Abstract

Knowledge sharing is economically important but also typically incomplete: we "filter" our communication. This paper analyzes the consequences of filtering. In the model, homogeneous agents share knowledge with their peers whenever the private benefits exceed communication costs. The welfare implications of this transmission mechanism hinge on whether units of knowledge complement, substitute for, or are independent of each other. Both substitutability and complementarity generate externalities; cheaper communication eliminates externalities in the former case but not necessarily in the latter. Complementary basic skills such as numeracy catalyze technology adoption, and adoption may be path dependent even when payoffs are certain and independent across agents.

Suggested Citation

  • Paul Niehaus, 2011. "Filtered Social Learning," Journal of Political Economy, University of Chicago Press, vol. 119(4), pages 686-720.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/662627
    DOI: 10.1086/662627
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/662627
    Download Restriction: Access to the online full text or PDF requires a subscription.
    File URL: http://dx.doi.org/10.1086/662627
    Download Restriction: Access to the online full text or PDF requires a subscription.
    File URL: https://libkey.io/10.1086/662627?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Edward L. Glaeser & Cass R. Sunstein, 2007. "Extremism and Social Learning," NBER Working Papers 13687, National Bureau of Economic Research, Inc.
    2. David Marmaros & Bruce Sacerdote, 2006. "How Do Friendships Form?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(1), pages 79-119.
    3. Boyan Jovanovic & Rafael Rob, 1989. "The Growth and Diffusion of Knowledge," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(4), pages 569-582.
    4. 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.
    5. Timothy Besley & Anne Case, 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Working Papers 228, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    6. 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.
    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. 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.
    9. repec:pri:rpdevs:besley_case_diffusion.pdf is not listed on IDEAS
    10. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    11. William A. Brock & Steven N. Durlauf, 2010. "Adoption Curves and Social Interactions," Journal of the European Economic Association, MIT Press, vol. 8(1), pages 232-251, March.
    12. Timothy Besley & Anne Case, 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Working Papers 228, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    13. Donald M. Topkis, 1978. "Minimizing a Submodular Function on a Lattice," Operations Research, INFORMS, vol. 26(2), pages 305-321, April.
    14. Luis Garicano, 2000. "Hierarchies and the Organization of Knowledge in Production," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 874-904, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rema Hanna & Sendhi Mullainathan & Josh Schwartstein, 2012. "Learning Through Noticing: Theory and Experimental Evidence in Farming," CID Working Papers 245, Center for International Development at Harvard University.
    2. , & , M. & ,, 2013. "Hierarchical cheap talk," Theoretical Economics, Econometric Society, vol. 8(1), January.
    3. Francis Bloch & Gabrielle Demange & Rachel Kranton, 2018. "Rumors And Social Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 421-448, May.
    4. Rune Dahl Fitjar & Martin Gjelsvik, 2018. "Why do firms collaborate with local universities?," Regional Studies, Taylor & Francis Journals, vol. 52(11), pages 1525-1536, November.
    5. Yazeed Abdul Mumin & Awudu Abdulai, 2022. "Social networks, adoption of improved variety and household welfare: evidence from Ghana," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 1-32.
    6. Yazeed Abdul Mumin & Awudu Abdulai & Renan Goetz, 2023. "The role of social networks in the adoption of competing new technologies in Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 510-533, June.
    7. Couture, Victor, 2015. "Knowledge spillovers in cities: An auction approach," Journal of Economic Theory, Elsevier, vol. 157(C), pages 668-698.
    8. Umberto Garfagnini & Bruno Strulovici, 2012. "Social Learning and Innovation Cycles (revision of DP#1516, The Dynamics of Innovation)," Discussion Papers 1546, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    9. S. Nageeb Ali & Ayal Chen-Zion & Erik Lillethun, 2020. "Reselling Information," Papers 2004.01788, arXiv.org, revised Dec 2022.
    10. Ryoji Jinushi, 2024. "Costly Advertising and Information Congestion: Insights from Pigou's Successors," Working Papers e210, Tokyo Center for Economic Research.
    11. Squires, Dale & Vestergaard, Niels, 2018. "Rethinking the commons problem: Technical change, knowledge spillovers, and social learning," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 1-25.
    12. 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.
    13. Harry Pei, 2022. "Reputation Effects under Short Memories," Papers 2207.02744, arXiv.org, revised Jan 2023.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & Katherine L. Milkman, 2015. "The Effect of Providing Peer Information on Retirement Savings Decisions," Journal of Finance, American Finance Association, vol. 70(3), pages 1161-1201, June.
    2. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    3. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1201-1236.
    4. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    5. Nicholas Magnan & David J Spielman & Travis J. Lybbert & Kajal Gulati, 2013. "Leveling with Friends: Social Networks and Indian Farmers’ Demand for Agricultural Custom Hire Services," Working Papers id:5591, eSocialSciences.
    6. Yamauchi, Futoshi, 2007. "Social learning, neighborhood effects, and investment in human capital: Evidence from Green-Revolution India," Journal of Development Economics, Elsevier, vol. 83(1), pages 37-62, May.
    7. Sébastien MARCHAND & Huanxiu GUO, 2013. "Is participatory social learning a performance driver for Chinese smallholder farmers?," Working Papers 201318, CERDI.
    8. Ma, Xingliang & Spielman, David J. & Nazli, Hina & Zambrano, Patricia & Zaidi, Fatima & Kouser, Shahzad, 2014. "The role of social networks in an imperfect market for agricultural technology products: Evidence on Bt cotton adoption in Pakistan," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 175276, Agricultural and Applied Economics Association.
    9. Wendy Janssens, 2005. "Measuring Externalities in Program Evaluation," Tinbergen Institute Discussion Papers 05-017/2, Tinbergen Institute, revised 30 Mar 2006.
    10. Magnan, Nicholas & Spielman, David J. & Gulati, Kajal, 2013. "Female social networks and learning about a new technology in eastern Uttar Pradesh, India," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150688, Agricultural and Applied Economics Association.
    11. Liverpool-Tasie, Lenis Saweda O. & Winter-Nelson, Alex, 2009. "Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49357, Agricultural and Applied Economics Association.
    12. David Spielman & Kristin Davis & Martha Negash & Gezahegn Ayele, 2011. "Rural innovation systems and networks: findings from a study of Ethiopian smallholders," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(2), pages 195-212, June.
    13. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    14. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    15. Christopher B. Busch & Colin Vance, 2011. "The Diffusion of Cattle Ranching and Deforestation: Prospects for a Hollow Frontier in Mexico’s Yucatán," Land Economics, University of Wisconsin Press, vol. 87(4), pages 682-698.
    16. Véronique Gille, 2012. "Education spillovers: empirical evidence in rural India," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 4-24, April.
    17. 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.
    18. Kondylis, Florence & Mueller, Valerie, 2012. "Seeing is Believing? Evidence from a Demonstration Plot Experiment in Mozambique," Mozambique Working Paper 1, International Food Policy Research Institute (IFPRI).
    19. Branko Boskovic, David P.Byrne, Arvind Magesan, 2012. "Herding Among Bureaucrats," Department of Economics - Working Papers Series 1158, The University of Melbourne.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ucp:jpolec:doi:10.1086/662627. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JPE .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.