Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/101093 
Year of Publication: 
2013
Series/Report no.: 
Working Papers in Economics and Statistics No. 2013-28
Publisher: 
University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon), Innsbruck
Abstract: 
This paper studies how external incentives can help agents to coordinate in summary-statistic games. Agents follow a myopic best-reply rule and face a trade-off between efficiency and strategic uncertainty. A principal can help agents to coordinate on the Pareto optimal equilibrium by monitoring an appropriate number of agents. The optimal monitoring policy is 'minimally-invasive' - for every strategy profile of the agents, the principal either monitors just enough agents to make high effort a best-reply or does not monitor at all. Furthermore, given the principal's payoffs are supermodular and increasing at an increasing rate, the optimal monitoring policy is monotone in the number of agents who choose high effort.
Subjects: 
adaptive learning
Markov decision process
coordination failure
order-statistic game
JEL: 
C73
C62
D86
Document Type: 
Working Paper

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