Positive reciprocity when motives are ambiguous

Abstract We present and test a model of reciprocity in which people are more likely to repay good treatment to the extent they judge it as motivated by true caring rather than tactical self-interest. The model’s key contributions stem from how it handles ambiguously motivated behavior. It allows people to maintain divergent hypotheses: They can view behavior as driven by caring, self-interest, or a mix thereof. In contrast, previous analyses resolve rather than maintain ambiguity. They treat caring and self-interest as mutually exclusive hypotheses, and require that people commit to one and dismiss the other. By more realistically handling ambiguity, our model yields three benefits. First, it accommodates intuitive patterns of play that existing analyses do not and which we experimentally corroborate. These patterns reflect intermediate inclinations to reciprocate ambiguously motivated positive behavior. Second, it challenges conventional interpretations of long-studied phenomena, including unraveling in finitely iterated prisoners’ dilemmas, substantial offers in ultimatum games, and gift exchange. Third, it highlights how diversity in perceptions – the same action can appear generous to one person and miserly to another – is empirically consequential. Under conventional interpretations and without accounting for diverse perceptions, the aforementioned phenomena have been viewed as inconsistent with a taste for repaying good treatment. Our model shows that they are entirely consistent with a nuanced form of this taste: a desire to repay good treatment that seems to largely reflect genuine caring.

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Publication Details

Journal
Experimental Economics
Published
2025-05-01
DOI
https://doi.org/10.1017/eec.2025.10009
Primary Topic
Experimental Behavioral Economics Studies
Type
article
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article

Positive reciprocity when motives are ambiguous

Yuval Rottenstreich, Johannes Müller-Trede
Experimental Economics
Experimental Behavioral Economics Studies
article

Positive reciprocity when motives are ambiguous

Yuval Rottenstreich, Johannes Müller-Trede
article en

Abstract

Abstract We present and test a model of reciprocity in which people are more likely to repay good treatment to the extent they judge it as motivated by true caring rather than tactical self-interest. The model’s key contributions stem from how it handles ambiguously motivated behavior. It allows people to maintain divergent hypotheses: They can view behavior as driven by caring, self-interest, or a mix thereof. In contrast, previous analyses resolve rather than maintain ambiguity. They treat caring and self-interest as mutually exclusive hypotheses, and require that people commit to one and dismiss the other. By more realistically handling ambiguity, our model yields three benefits. First, it accommodates intuitive patterns of play that existing analyses do not and which we experimentally corroborate. These patterns reflect intermediate inclinations to reciprocate ambiguously motivated positive behavior. Second, it challenges conventional interpretations of long-studied phenomena, including unraveling in finitely iterated prisoners’ dilemmas, substantial offers in ultimatum games, and gift exchange. Third, it highlights how diversity in perceptions – the same action can appear generous to one person and miserly to another – is empirically consequential. Under conventional interpretations and without accounting for diverse perceptions, the aforementioned phenomena have been viewed as inconsistent with a taste for repaying good treatment. Our model shows that they are entirely consistent with a nuanced form of this taste: a desire to repay good treatment that seems to largely reflect genuine caring.

Experimental EconomicsVol. 28(3)
University of California System (US), Universidad de Navarra (ES)
Reduced inequalities
Openalex Percentile: Top 20%
Experimental Behavioral Economics Studies
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Positive reciprocity when motives are ambiguous — Yuval Rottenstreich, Johannes Müller-Trede · Experimental Economics (2025) | TGRS Research Map | TGRS