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Social Networks and the Aggregation on Individual Decisions

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Author Info
D. Lee Heavner
Lance Lochner

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Abstract

This paper analyzes individual decisions to participate in an activity and the aggregation of those decisions when individuals gather information about the outcomes and choices of (a few) others in their social network. In this environment, aggregate participation rates are generally inefficient. Increasing the size of social networks does not necessarily increase efficiency and can lead to less efficient long-run outcomes. Both subsidies for participation and penalties for non-participation can increase participation rates, though not necessarily by the same amount. Punishing non-participation has much greater effects on participation rates than rewarding participation when current rates are very low. A program that provides youth with mentors who have participated themselves can increase participation rates, especially when those rates are low. Finally, communities plagued by the flight of successful participants will experience lower short- and long-run participation rates.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 8979.

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Date of creation: Jun 2002
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Handle: RePEc:nbr:nberwo:8979

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D8 - Microeconomics - - Information, Knowledge, and Uncertainty
H0 - Public Economics - - General

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  3. Esther Duflo & Emmanuel Saez, 2000. "Participation and Investment Decisions in a Retirement Plan: The Influence of Colleagues' Choices," NBER Working Papers 7735, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. J. Dominitz & C. F. Manski, . "Eliciting student expectations of the returns to schooling," Institute for Research on Poverty Discussion Papers 1049-94, University of Wisconsin Institute for Research on Poverty. [Downloadable!]
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  5. Sendhil Mullainathan & Marianne Bertrand & Erzo F.P. Luttmer, 1998. "Network Effects and Welfare Cultures," Working papers 98-21, Massachusetts Institute of Technology (MIT), Department of Economics.
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  6. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-43, August. [Downloadable!] (restricted)
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  7. Glaeser, Edward L & Sacerdote, Bruce & Scheinkman, Jose A, 1996. "Crime and Social Interactions," The Quarterly Journal of Economics, MIT Press, vol. 111(2), pages 507-48, May. [Downloadable!] (restricted)
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  8. Banerjee, Abhijit V, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, MIT Press, vol. 107(3), pages 797-817, August. [Downloadable!] (restricted)
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  10. Conley, Timothy & Udry, Christopher, 2001. " Social Learning through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 83(3), pages 668-73, August. [Downloadable!] (restricted)
  11. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2001. "Social Interaction and Stock-Market Participation," NBER Working Papers 8358, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  12. Ellison, Glenn & Fudenberg, Drew, 1995. "Word-of-Mouth Communication and Social Learning," The Quarterly Journal of Economics, MIT Press, vol. 110(1), pages 93-125, February. [Downloadable!] (restricted)
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  14. Lance Lochner, 2001. "A Theoretical and Empirical Study of Individual Perceptions of the Criminal Justice System," RCER Working Papers 483, University of Rochester - Center for Economic Research (RCER). [Downloadable!]
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  1. Lance Lochner, 2003. "Individual Perceptions of the Criminal Justice System," NBER Working Papers 9474, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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