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Efficient Dynamic Coordination with Individual Learning

Amil Dasgupta, Jakub Steiner and Colin Stewart

Edinburgh School of Economics Discussion Paper Series from Edinburgh School of Economics, University of Edinburgh

Abstract: We study how the presence of multiple participation opportunities coupled with individual learning about payoff affects the ability of agents to coordinate efficiently in global coordination games. Two players face the option to invest irreversibly in a project in one of many rounds. The project succeeds if some underlying state variable theta is positive and both players invest, possibly asynchronously. In each round they receive informative private signals about theta, and asymptotically learn the true value of theta. Players choose in each period whether to invest or to wait for more precise information about theta. We show that with sufficiently many rounds, both players invest with arbitrarily high probability whenever investment is socially efficient, and delays in investment disappear when signals are precise. This result stands in sharp contrast to the usual static global game outcome in which players coordinate on the risk-dominant action. We provide a foundation for these results in terms of higher order beliefs.

Pages: 24
Date: 2007-11
New Economics Papers: this item is included in nep-gth
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Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Efficient dynamic coordination with individual learning (2007) Downloads
Working Paper: Efficient Dynamic Coordination with Individual Learning (2007) Downloads
Working Paper: Efficient Dynamic Coordination with Individual Learning (2007) Downloads
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