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Review of Behavioral Economics
Article . 2015 . Peer-reviewed
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Adam Smith: Homo Socialis , Yes; Social Preferences, No; Reciprocity Was to Be Explained

Authors: Smith, Vernon L.;

Adam Smith: Homo Socialis , Yes; Social Preferences, No; Reciprocity Was to Be Explained

Abstract

I argue that the authors accept too casually the neo-classical framework of thought that was incapable of predicting choices in 2-person and other experimental games in the 1980s and 1990ss. The ex post hoc hypothesis that social preference can describe homo socialis reduces inevitably to a rescue of neo-classical economics in which Max-U (own payoff, other payoff) substitutes mechanically for Max-U (own payoff) in our personal groupings. This static procedure unnecessarily and inappropriately robs human conduct of its sociality as a process relationship. The model I articulate was masterfully developed by Adam Smith, which back-predicts the results of these earlier small group experiments, and argues the central importance of context—a finding of experimentalists in their attempt to come to terms with the predictive failures of Max-U (own payoff).

Country
United States
Related Organizations
Keywords

homo socialis, neo-classical, experimental economics, Economic Theory, games

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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!
6
Average
Average
Top 10%
bronze