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SSRN Electronic Journal
Article . 2015 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2015
Data sources: EconStor
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Dynamic Incentives and Markov Perfection: Putting the 'Conditional' in Conditional Cooperation

Authors: Emanuel Vespa; Alistair J. Wilson;

Dynamic Incentives and Markov Perfection: Putting the 'Conditional' in Conditional Cooperation

Abstract

This paper experimentally examines the selection of equilibria in dynamic games. Our baseline treatment is a two-state extension of an indefinitely repeated prisoner’s dilemma, which we modify in series of treatments to study the focality of efficiency and symmetry, the effect dynamic and static strategic externalities, and the size of the state-space. Subjects in our experiments show an affinity for conditional cooperation, readily conditioning their behavior on both the state of the world, and recent history of play. With strong dynamic and static externalities present we see most subjects coordinate on efficiency by conditioning on past play. However, when we remove either type of strategic externality, conditioning on just the state becomes more common, and behavior is consistent with the Markov-perfect prediction. Changes to the environment’s state-space are more nuanced: perturbations of the game with small-sized noise does not lead to more state-conditioned behavior; however, a richer set of endogenous states does lead to more Markov-perfect behavior.

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Keywords

equilibrium selection, ddc:330, dynamic cooperation, equilibrium selection, history dependence, history dependence, C73, D90, C92, D03, dynamic cooperation, jel: jel:C92, jel: jel:D90, jel: jel:C73, jel: jel:D03

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
bronze