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Dynamic Coordination Via Organizational Routines

  • Andreas Blume

We investigate dynamic coordination among members of a problem-solving team who receive private signals about which of their actions are required for a (static) coordinated solution and who have repeated opportunities to explore different action combinations. In this environment ordinal equilibria, in which agents condition only on how their signals rank their actions and not on signal strength, lead to simple patterns of behavior that have a natural interpretation as routines. These routines partially solve the team's coordination problem by synchronizing the team's search efforts and prove to be resilient to changes in the environment by being ex post equilibria, to agents having only a coarse understanding of other agents' strategies by being fully cursed, and to natural forms of agents' overconfidence. The price of this resilience is that optimal routines are frequently suboptimal equilibria.

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Paper provided by University of Pittsburgh, Department of Economics in its series Working Papers with number 439.

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Date of creation: Jan 2011
Date of revision: Jan 2011
Handle: RePEc:pit:wpaper:439
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  1. Andreas Blume & John Duffy, 2004. "Organizational Learning: An Experimental Investigation," 2004 Meeting Papers 617, Society for Economic Dynamics.
  2. Andreas Blume & John Duffy & April M. Franco, 2009. "Decentralized Organizational Learning: An Experimental Investigation," American Economic Review, American Economic Association, vol. 99(4), pages 1178-1205, September.
  3. Sylvain Chassang, 2010. "Building Routines: Learning, Cooperation, and the Dynamics of Incomplete Relational Contracts," American Economic Review, American Economic Association, vol. 100(1), pages 448-65, March.
  4. Gossner, Olivier & Vieille, Nicolas, 2003. "Strategic learning in games with symmetric information," Games and Economic Behavior, Elsevier, vol. 42(1), pages 25-47, January.
  5. Andreas Blume & April Franco, 2002. "Learning from failure," Staff Report 299, Federal Reserve Bank of Minneapolis.
  6. Andreas Blume & Paul Heidhues, 2003. "Private Monitoring in Auctions," CIG Working Papers SP II 2003-14, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  7. David A. Miller, 2012. "Robust Collusion with Private Information," Review of Economic Studies, Oxford University Press, vol. 79(2), pages 778-811.
  8. Philippe Jehiel, 2005. "Analogy-Based Expectation Equilibrium," Levine's Bibliography 784828000000000106, UCLA Department of Economics.
  9. Blume, Andreas & Franco, April Mitchell, 2007. "Decentralized learning from failure," Journal of Economic Theory, Elsevier, vol. 133(1), pages 504-523, March.
  10. Banerjee, Abhijit V, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, MIT Press, vol. 107(3), pages 797-817, August.
  11. Jacques Cremer & Luis Garicano & Andrea Prat, 2006. "Language and the Theory of the Firm," Levine's Bibliography 784828000000000373, UCLA Department of Economics.
  12. Thomas Wiseman, 2005. "A Partial Folk Theorem for Games with Unknown Payoff Distributions," Econometrica, Econometric Society, vol. 73(2), pages 629-645, 03.
  13. Robert S. Gibbons, 2010. "Inside Organizations: Pricing, Politics, and Path Dependence," Levine's Working Paper Archive 661465000000000249, David K. Levine.
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