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The Strategic Formation of Networks: Experimental Evidence

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  • Carrillo, Juan D
  • Gaduh, Arya

Abstract

We use a laboratory experiment to explore dynamic network formation in a six-player game where link creation requires mutual consent. The analysis of network outcomes suggests that the process tends to converge to the pairwise-stable (PWS) equilibrium when it exists and not to converge at all when it does not. When multiple PWS equilibria exist, subjects tend to coordinate on the high-payoff one. The analysis at the single choice level indicates that the percentage of myopically rational behavior is generally high. Deviations are more prevalent when actions are reversible, when marginal payoff losses are smaller and when deviations involve excessive links that can be removed unilaterally later on. There is, however, some heterogeneity across subjects.

Suggested Citation

  • Carrillo, Juan D & Gaduh, Arya, 2012. "The Strategic Formation of Networks: Experimental Evidence," CEPR Discussion Papers 8757, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:8757
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    References listed on IDEAS

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    1. Herings, P. Jean-Jacques & Mauleon, Ana & Vannetelbosch, Vincent, 2009. "Farsightedly stable networks," Games and Economic Behavior, Elsevier, vol. 67(2), pages 526-541, November.
    2. Falk Armin & Kosfeld Michael, 2012. "It's all about Connections: Evidence on Network Formation," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-36, September.
    3. KIRCHSTEIGER, Georg & MANTOVANI, Marco & MAULEON, Ana & VANNETELBOSCH, Vincent, 2011. "Myopic or farsighted? An experiment on network formation," CORE Discussion Papers 2011007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Bramoullé, Yann & Kranton, Rachel, 2007. "Risk-sharing networks," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 275-294.
    5. Siegfried Berninghaus & Karl-Martin Ehrhart & Marion Ott, 2006. "A network experiment in continuous time: The influence of link costs," Experimental Economics, Springer;Economic Science Association, vol. 9(3), pages 237-251, September.
    6. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    7. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    8. Goeree, Jacob K. & Riedl, Arno & Ule, Aljaz, 2009. "In search of stars: Network formation among heterogeneous agents," Games and Economic Behavior, Elsevier, vol. 67(2), pages 445-466, November.
    9. Fafchamps, Marcel & Lund, Susan, 2003. "Risk-sharing networks in rural Philippines," Journal of Development Economics, Elsevier, vol. 71(2), pages 261-287, August.
    10. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
    11. Rachel E. Kranton & Deborah F. Minehart, 2001. "A Theory of Buyer-Seller Networks," American Economic Review, American Economic Association, vol. 91(3), pages 485-508, June.
    12. William Greene, 2004. "The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 98-119, June.
    13. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    14. Mark Granovetter, 2005. "The Impact of Social Structure on Economic Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 33-50, Winter.
    15. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    16. Callander, Steven & Plott, Charles R., 2005. "Principles of network development and evolution: an experimental study," Journal of Public Economics, Elsevier, vol. 89(8), pages 1469-1495, August.
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    Cited by:

    1. repec:eee:jeborg:v:145:y:2018:i:c:p:567-591 is not listed on IDEAS
    2. Kirchsteiger, Georg & Mantovani, Marco & Mauleon, Ana & Vannetelbosch, Vincent, 2016. "Limited farsightedness in network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 97-120.
    3. Michael Caldara & Michael McBride, 2014. "An Experimental Study of Network Formation with Limited Observation," Working Papers 141501, University of California-Irvine, Department of Economics.
    4. Mariya Teteryatnikova & James Tremewan, 2015. "Stability in Network Formation Games with Streams of Payoffs: An Experimental Study," Vienna Economics Papers 1508, University of Vienna, Department of Economics.
    5. Margherita Comola & Marcel Fafchamps, 2015. "An Experimental Study of Decentralized Link Formation with Competition," NBER Working Papers 21758, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Laboratory experiments; Myopic rationality; Pairwise stable equilibria; Social networks;

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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