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The Law of the Few

Author

Listed:
  • Andrea Galeotti
  • Sanjeev Goyal

Abstract

Empirical work shows that a large majority of individuals get most of their information from a very small subset of the group, viz., the influencers; moreover, there exist only minor differences between the observable characteristics of the influencers and the others. We refer to these empirical findings as the Law of the Few. This paper develops a model where players personally acquire information and form connections with others to access their information. Every (robust) equilibrium of this model exhibits the law of the few. (JEL D83, D85, Z13)

Suggested Citation

  • Andrea Galeotti & Sanjeev Goyal, 2010. "The Law of the Few," American Economic Review, American Economic Association, vol. 100(4), pages 1468-1492, September.
  • Handle: RePEc:aea:aecrev:v:100:y:2010:i:4:p:1468-92 Note: DOI: 10.1257/aer.100.4.1468
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    References listed on IDEAS

    as
    1. Bertola, Giuseppe, 2000. "Macroeconomics of distribution and growth," Handbook of Income Distribution,in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 9, pages 477-540 Elsevier.
    2. Myeonghwan Cho, 2010. "Endogenous formation of networks for local public goods," International Journal of Game Theory, Springer;Game Theory Society, vol. 39(4), pages 529-562, October.
    3. Antoni Calvó-Armengol & Yves Zenou, 2004. "Social Networks And Crime Decisions: The Role Of Social Structure In Facilitating Delinquent Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 939-958, August.
    4. Cabrales, Antonio & Gottardi, Piero, 2014. "Markets for information: Of inefficient firewalls and efficient monopolies," Games and Economic Behavior, Elsevier, pages 24-44.
    5. Bloch, Francis & Jackson, Matthew O., 2007. "The formation of networks with transfers among players," Journal of Economic Theory, Elsevier, pages 83-110.
    6. Hojman, Daniel A. & Szeidl, Adam, 2008. "Core and periphery in networks," Journal of Economic Theory, Elsevier, vol. 139(1), pages 295-309, March.
    7. Andrea Galeotti, 2006. "One-way flow networks: the role of heterogeneity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(1), pages 163-179, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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