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Myopic or Farsighted? An Experiment on Network Formation

Author

Listed:
  • Marco Mantovani

    (Università degli Studi di Milano and Université Libre de Bruxelles)

  • Georg Kirchsteiger

    (ECARES, Université Libre de Bruxelles, ECORE, CEPR, and CESifo)

  • Ana Mauleon

    (FNRS and CEREC, Facultés universitaires Saint-Louis and FNRS and CORE, Université catholique de Louvain)

  • Vincent Vannetelbosch

    (FNRS and CORE, Université catholique de Louvain)

Abstract

Pairwise stability (Jackson and Wolinsky, 1996) is the standard stability concept in network formation. It assumes myopic behavior of the agents in the sense that they do not forecast how others might react to their actions. Assuming that agents are farsighted, related stability concepts have been proposed. We design a simple network formation experiment to test these theories. Our results provide support for farsighted stability and strongly reject the idea of myopic behavior.

Suggested Citation

  • Marco Mantovani & Georg Kirchsteiger & Ana Mauleon & Vincent Vannetelbosch, 2011. "Myopic or Farsighted? An Experiment on Network Formation," Working Papers 2011.45, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2011.45
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    Citations

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    Cited by:

    1. Charness, Gary & Feri, Francesco & Meléndez-Jiménez, Miguel A. & Sutter, Matthias, 2012. "Equilibrium Selection in Experimental Games on Networks," University of California at Santa Barbara, Economics Working Paper Series qt51v6w9hd, Department of Economics, UC Santa Barbara.
    2. Henrik Egbert & Teodor Sedlarski, 2011. "Exploring Impact: Negative Effects of Social Networks," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 1(2), pages 1-80.
    3. Liza Charroin, 2016. "The effect of sequentiality and heterogeneity in network formation games," Working Papers 1629, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    4. 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.
    5. Britta Hoyer & Kris De Jaegher, 2023. "Network disruption and the common-enemy effect," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(1), pages 117-155, March.
    6. Carrillo, Juan & Gaduh, Arya, 2012. "The Strategic Formation of Networks: Experimental Evidence," CEPR Discussion Papers 8757, C.E.P.R. Discussion Papers.
    7. B. Hoyer, 2012. "Network Disruption and the Common Enemy Effect," Working Papers 12-06, Utrecht School of Economics.
    8. A. Stefano Caria & Marcel Fafchamps, 2015. "Can Farmers Create Efficient Information Networks? Experimental Evidence from Rural India," CSAE Working Paper Series 2015-07, Centre for the Study of African Economies, University of Oxford.
    9. Leonardo Boncinelli & Alessio Muscillo & Paolo Pin, 2022. "Efficiency and Stability in a Process of Teams Formation," Dynamic Games and Applications, Springer, vol. 12(4), pages 1101-1129, December.
    10. Pietro Battiston, 2014. "Citations are Forever: Modeling Constrained Network Formation," LEM Papers Series 2014/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    More about this item

    Keywords

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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