2007
DOI: 10.1016/j.jet.2006.07.003
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Tit for tat: Foundations of preferences for reciprocity in strategic settings

Abstract: This paper assumes that in addition to conventional preferences over outcomes, players in a strategic environment have preferences over strategies. It provides conditions under which a player's preferences over strategies can be represented as a weighted average of the utility from outcomes of the individual and his opponents. The weight one player places on an opponent's utility from outcomes depends on the players' joint behavior. In this way, the framework is rich enough to describe the behavior of individu… Show more

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Cited by 123 publications
(100 citation statements)
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“…Geanakoplos, Pearce, and Stacchetti [4], Rabin [5], and Segal and Sobel [6] present ways to model intrinsic reciprocity in games. These papers extend standard game theory in a way that permits preferences of one player to depend on the intentions of other players.…”
Section: Introductionmentioning
confidence: 99%
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“…Geanakoplos, Pearce, and Stacchetti [4], Rabin [5], and Segal and Sobel [6] present ways to model intrinsic reciprocity in games. These papers extend standard game theory in a way that permits preferences of one player to depend on the intentions of other players.…”
Section: Introductionmentioning
confidence: 99%
“…A tractable way to model intrinsic reciprocity is to assume, in addition, that players have strategic preferences over their own strategy set and that these preferences depend on the strategic context (or expected play of the game) so that, in particular, they need not agree with preferences over outcomes. Segal and Sobel [6] investigate this model and provide conditions under which player i's preferences over his set of mixed strategies (with representative element σ i ) conditional on a context on expected pattern of play (described by the mixed-strategy profile σ * ) is represented by a function V i (·) that can 1 Sobel [7] reviews the literature on reciprocity.…”
Section: Introductionmentioning
confidence: 99%
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