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Coordination in Networks Formation: Experimental Evidence on Learning and Salience

Author

Listed:
  • Matteo Galizzi

    (Università di Brescia)

  • Michele Bernasconi

    (Università dell’Insubria)

Abstract

We present experiments on repeated non-cooperative network formation games, based on Bala and Goyal (2000). We treat the one-way and the two-ways flow models, each for high and low link costs. The models show both multiple equilibria and coordination problems. We conduct experiments under various conditions which control for salient labeling and learning dynamics. Contrary to previous experiments, we find that coordination on non-empty Strict Nash equilibria is not an easy task for subjects to achieve, even in the mono-directional model where the Strict Nash equilibria is a wheel. We find that salience significantly helps coordination, but only when subjects are pre-instructed to think of the wheel network as a reasonable way to play the networking game. Evidence on learning behavior provides support for subjects choosing strategies consistent with various learning rules, which include as the main ones Reinforcement and Fictitious Play.

Suggested Citation

  • Matteo Galizzi & Michele Bernasconi, 2005. "Coordination in Networks Formation: Experimental Evidence on Learning and Salience," Working Papers 2005.107, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2005.107
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    Citations

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    Cited by:

    1. Daniela Di Cagno & Emanuela Sciubba, 2008. "Social Networks and Trust: not the Experimental Evidence you may Expect," Birkbeck Working Papers in Economics and Finance 0801, Birkbeck, Department of Economics, Mathematics & Statistics.
    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. Michele Bernasconi & Matteo Galizzi, 2010. "Network formation in repeated interactions: experimental evidence on dynamic behaviour," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 9(2), pages 193-228, December.
    4. 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-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Sanjeev Goyal & Penélope Hernández & Guillem Martínez-Cánovas & Frédéric Moisan & Manuel Muñoz-Herrera & Angel Sánchez, 2021. "Integration and diversity," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 387-413, June.
      • Goyal, S. & Hernández, P. & Muñnez-Cánovasz, G. & Moisan, F. & Muñoz-Herrera, M. & Sánchez, A., 2017. "Integration and Diversity," Cambridge Working Papers in Economics 1721, Faculty of Economics, University of Cambridge.
      • Sanjeev Goyal & Pénélope Hernández & Guillem Martínez-Cánovas & Frédéric Moisan & Manuel Muñoz-Herrera & Ángel Sánchez, 2021. "Integration and diversity," Post-Print halshs-03051962, HAL.
      • Sanjeev Goyal & Penelope Hernandez & Guillem Martinez-Canovas & Frederic Moisan & Manuel Munoz-Herrera & Angel Sanchez, 2019. "Integration and Diversity," Working Papers 20190025, New York University Abu Dhabi, Department of Social Science, revised Sep 2020.
      • Sanjeev Goyal & Penélope Hernández & Guillem Martínez-Cánovas & Frederic Moisan & Manuel Muñoz-Herrera & Angel Sánchez, 2021. "Integration and Diversity," Post-Print hal-03188210, HAL.
    6. Anna Conte & Daniela T. Di Cagno & Emanuela Sciubba, 2015. "Behavioral Patterns In Social Networks," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1331-1349, April.
    7. Neligh, Nathaniel, 2020. "Vying for dominance: An experiment in dynamic network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 719-739.
    8. Di Cagno, Daniela & Sciubba, Emanuela, 2010. "Trust, trustworthiness and social networks: Playing a trust game when networks are formed in the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 156-167, August.

    More about this item

    Keywords

    Experiments; Networks; Behavioral game theory; Salience; Learning dynamics;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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