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Global vs. Local Information

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Author Info
Leonardo Boncinelli ()

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Abstract

In this paper I apply stochastic stability to compare local information to global information in terms of welfare. Under global information agents potentially imitate anyone else, while under local information choices are grouped into information sets and agents can observe and hence imitate only those within their own information set. The welfare evaluation of information is ambiguous over finite time horizons, while in the long run less (more) information is better in the presence of pure negative (positive) spillovers. However, when a selection issue is considered a further ambiguity emerges making the comparison, in general, uncertain.

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Paper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 520.

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Date of creation: Oct 2007
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Handle: RePEc:usi:wpaper:520

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Related research
Keywords: imitation local information global information stochastic stability

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Find related papers by JEL classification:
D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
Z13 - Other Special Topics - - Cultural Economics - - - Social Norms and Social Capital; Social Networks Economic Anthropology

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  1. Schlag, Karl H., 1999. "Which one should I imitate?," Journal of Mathematical Economics, Elsevier, vol. 31(4), pages 493-522, May. [Downloadable!] (restricted)
  2. Hirshleifer, Jack, 1971. "The Private and Social Value of Information and the Reward to Inventive Activity," American Economic Review, American Economic Association, vol. 61(4), pages 561-74, September. [Downloadable!] (restricted)
  3. George-Marios Angeletos & Alessandro Pavan, 2007. "Efficient Use of Information and Social Value of Information," Econometrica, Econometric Society, vol. 75(4), pages 1103-1142, 07. [Downloadable!] (restricted)
  4. Geore-Marios Angeletos & Alessandro Pavan, 2004. "Transparency of Information and Coordination in Economies with Investment Complementarities," Levine's Bibliography 122247000000000289, UCLA Department of Economics. [Downloadable!]
    Other versions:
  5. Kandori, Michihiro & Mailath, George J & Rob, Rafael, 1993. "Learning, Mutation, and Long Run Equilibria in Games," Econometrica, Econometric Society, vol. 61(1), pages 29-56, January. [Downloadable!] (restricted)
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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. Ellison, Glenn, 1993. "Learning, Local Interaction, and Coordination," Econometrica, Econometric Society, vol. 61(5), pages 1047-71, September. [Downloadable!] (restricted)
  8. Fernando Vega-Redondo, 1997. "The Evolution of Walrasian Behavior," Econometrica, Econometric Society, vol. 65(2), pages 375-384, March.
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  9. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December. [Downloadable!] (restricted)
  10. Schlag, Karl H., 1998. "Why Imitate, and If So, How?, : A Boundedly Rational Approach to Multi-armed Bandits," Journal of Economic Theory, Elsevier, vol. 78(1), pages 130-156, January. [Downloadable!] (restricted)
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  11. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January. [Downloadable!] (restricted)
  12. Cooper, Russell & John, Andrew, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, MIT Press, vol. 103(3), pages 441-63, August. [Downloadable!] (restricted)
  13. Ben-Shoham, Assaf & Serrano, Roberto & Volij, Oscar, 2004. "The evolution of exchange," Journal of Economic Theory, Elsevier, vol. 114(2), pages 310-328, February. [Downloadable!] (restricted)
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