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A Theory of Causal Responsibility Attribution

Authors: Engl, Florian;

A Theory of Causal Responsibility Attribution

Abstract

People frequently reward and punish other people if they perceive them to be responsible for the implementation of events that they like or dislike. However, the determinants of such responsibility perceptions are not well understood within economics. In this paper, I propose a notion of causal responsibility as one determinant of responsibility perceptions. The notion attempts to objectively capture the causal importance of a person’s action for the implementation of an event when the implementation depends on the interaction of multiple persons and, potentially, moves of nature. I incorporate the notion in a framework of responsibility preferences and study its implication for behavior and equilibria in strategic settings. Finally, I show that the notion can explain experimentally elicited punishment and reward patterns in multi-agent situations that are not well-explained by existing social preference theories.

Keywords

D70, causal reasoning, C72, ddc:330, D03, responsibility, D63, social preferences

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
6
Top 10%
Average
Average
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