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Learning in network games

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  • Jaromír Kovářík
  • Friederike Mengel
  • José Gabriel Romero

Abstract

We report the findings of experiments designed to study how people learn in network games. Network games offer new opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their information requirements. Our experimental design enables us to observe both which actions participants choose and which information they consult before making their choices. We use these data to estimate learning types using finite mixture models. Monitoring information requests turns out to be crucial, as estimates based on choices alone show substantial biases. We also find that learning depends on network position. Participants in more complex environments (with more network neighbors) tend to resort to simpler rules compared to those with only one network neighbor.

Suggested Citation

  • Jaromír Kovářík & Friederike Mengel & José Gabriel Romero, 2018. "Learning in network games," Quantitative Economics, Econometric Society, vol. 9(1), pages 85-139, March.
    • Handle: RePEc:wly:quante:v:9:y:2018:i:1:p:85-139
    DOI: 10.3982/QE688
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    Cited by:

    1. García-Pola, Bernardo & Iriberri, Nagore & Kovářík, Jaromír, 2020. "Non-equilibrium play in centipede games," Games and Economic Behavior, Elsevier, vol. 120(C), pages 391-433.
    2. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2020. "Positional concerns and social network structure: An experiment," European Economic Review, Elsevier, vol. 129(C).
    3. Engel, Christoph, 2020. "Estimating heterogeneous reactions to experimental treatments," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 124-147.
    4. García-Pola, Bernardo, 2020. "Do people minimize regret in strategic situations? A level-k comparison," Games and Economic Behavior, Elsevier, vol. 124(C), pages 82-104.
    5. Tenev, Anastas P., 2024. "“Friends Are Thieves of Time”: Heuristic attention sharing in stable friendship networks," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 785-809.

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