In this paper, we discuss a model with local positive externalities on a complex random network that allows for wide heterogeneities among the agents. The situation can be analyzed as a game of incomplete information where each player's connectivity is her type. We focus on three paradigmatic cases in which the overall degree distribution is Poisson, exponential, and scale-free (given by a power law). For each of them, we characterize the equilibria and obtain interesting insights on the interplay between network topology and payoffs. For example, we reach the somewhat paradoxical conclusion that a broad degree distribution or/and too low a cost of effort render it difficult, if not impossible, to sustain an (efficient) high-effort configuration at equilibrium.
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Paper provided by California Institute of Technology, Division of the Humanities and Social Sciences in its series Working Papers with number
1224.
Length: 24 pages Date of creation: Jun 2005 Date of revision: Handle: RePEc:clt:sswopa:1224
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Edward L. Glaeser & Bruce Sacerdote & Jose A. Scheinkman, 1995.
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Glaeser, Edward L & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1992.
"Growth in Cities,"
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Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991.
"Growth in Cities,"
NBER Working Papers
3787, National Bureau of Economic Research, Inc.
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Cited by: (explanations, 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.)
repec:bep:theadv:v:7:y:2007:i:1:p:1341-1341 is not listed on IDEAS
Andrea Galeotti & Sanjeev Goyal & Matthew O. Jackson & Fernando Vega-Redondo & Leeat Yariv, 2008.
"Network Games,"
Economics Working Papers
ECO2008/07, European University Institute.
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