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Position Uncertainty in a Prisoner's Dilemma Game : An Experiment

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  • Chowdhury Mohammad Sakib Anwar
  • Konstantinos Georgalos
  • Sonali SenGupta

Abstract

Gallice and Monzon (2019) present a natural environment that sustains full cooperation in one-shot social dilemmas among a finite number of self-interested agents. They demonstrate that in a sequential public goods game, where agents lack knowledge of their position in the sequence but can observe some predecessors' actions, full contribution emerges in equilibrium due to agents' incentive to induce potential successors to follow suit. Furthermore, they show that this principle extends to a number of social dilemmas, with the prominent example that of the prisoner's dilemma. In this study, we experimentally test the theoretical predictions of this model in a multi- player prisoner's dilemma environment, where subjects are not aware of their position in the sequence and receive only partial information on past cooperating actions. We test the predictions of the model, and through rigorous structural econometric analysis, we test the descriptive capacity of the model against alternative behavioural strategies, such as conditional cooperation, altruistic play and free-riding behaviour. We find that the majority resorts to free-riding behaviour, around 30% is classified as Gallice and Monzon (2019) types, followed by those with social preference considerations and the unconditional altruists.

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  • Chowdhury Mohammad Sakib Anwar & Konstantinos Georgalos & Sonali SenGupta, 2025. "Position Uncertainty in a Prisoner's Dilemma Game : An Experiment," Papers 2504.10441, arXiv.org.
  • Handle: RePEc:arx:papers:2504.10441
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    References listed on IDEAS

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    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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