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(Anti-) Coordination in Networks

  • Mengel Friederike
  • Romero José Gabriel
  • Kovarik Jaromir

    (METEOR)

We study (anti-) coordination problems in networks in a laboratory experiment. Participants interact with their neighbours in a fixed network to play a bilateral (anti-) coordination game. Our main treatment variable is the extent to which players are heterogeneous in thenumber of connections (neighbors) they have. Other network characteristics are held constant across treatments. We find the following results. Heterogeneity in the number of connections dramatically improves the rate of succesful coordination. In addition, even though there is a multiplicity of Nash equilibria theoretically, a very sharp selection is observed empiricaly: the most connected player can impose her preferred Nash equilibrium almost always and observed Nash equilibria are such that all links are coordinated. As a second treatment variation we let agents decide endogenously on the amount of information they would like to have and find that local (endogenous) information is equally efficient in ensuring succesful coordination as full information. We provide an intuitive explanation of these facts which is supported by our data.

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Paper provided by Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR) in its series Research Memorandum with number 041.

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Date of creation: 2009
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Handle: RePEc:unm:umamet:2009041
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  1. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
  2. Hojman, Daniel A. & Szeidl, Adam, 2006. "Endogenous networks, social games, and evolution," Games and Economic Behavior, Elsevier, vol. 55(1), pages 112-130, April.
  3. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-41, August.
  4. Gary Charness & Margarida Corominas-Bosch & Guillaume R. Frechette, 2004. "Bargaining and Network Structure: An Experiment," Econometric Society 2004 North American Summer Meetings 653, Econometric Society.
  5. Corbae, Dean & Duffy, John, 2008. "Experiments with network formation," Games and Economic Behavior, Elsevier, vol. 64(1), pages 81-120, September.
  6. Choi, Syngjoo & Gale, Douglas & Kariv, Shachar & Palfrey, Thomas, 2011. "Network architecture, salience and coordination," Games and Economic Behavior, Elsevier, vol. 73(1), pages 76-90, September.
  7. Choi, Syngjoo & Lee, Jihong, 2009. "Communication, Coordination and Networks," MPRA Paper 19055, University Library of Munich, Germany.
  8. Andrea Galeotti & Sanjeev Goyal, 2009. "Influencing the influencers: a theory of strategic diffusion," RAND Journal of Economics, RAND Corporation, vol. 40(3), pages 509-532.
  9. Alós-Ferrer, Carlos & Weidenholzer, Simon, 2008. "Contagion and efficiency," Journal of Economic Theory, Elsevier, vol. 143(1), pages 251-274, November.
  10. repec:rne:rneart:v:3:y:2004:i:1:p:19-41 is not listed on IDEAS
  11. Goyal, Sanjeev & Vega-Redondo, Fernando, 2005. "Network formation and social coordination," Games and Economic Behavior, Elsevier, vol. 50(2), pages 178-207, February.
  12. Kosfeld Michael, 2004. "Economic Networks in the Laboratory: A Survey," Review of Network Economics, De Gruyter, vol. 3(1), pages 1-23, March.
  13. Jackson, Matthew O. & Watts, Alison, 2002. "On the formation of interaction networks in social coordination games," Games and Economic Behavior, Elsevier, vol. 41(2), pages 265-291, November.
  14. Kene BOUN MY & Marc WILLINGER & Anthony ZIEGELMEYER, 1999. "Global versus local interaction in coordination games: an experimental investigation," Working Papers of BETA 9923, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  15. Cassar, Alessandra, 2007. "Coordination and cooperation in local, random and small world networks: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 58(2), pages 209-230, February.
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