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The Journal of Economic Perspectives
Article . 2006 . Peer-reviewed
Data sources: Crossref
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SSRN Electronic Journal
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Anomalies: Utility Maximization and Experienced Utility

Authors: Daniel Kahneman; Richard H. Thaler;

Anomalies: Utility Maximization and Experienced Utility

Abstract

In this column, we discuss a version of the utility maximization hypothesis that can be tested—and we find that it is false. We review empirical challenges to utility maximization, which return to the old question of whether preferences optimize the experience of outcomes. Much of this work has focused on a necessary condition for utility-maximizing choices: an ability of economic agents to make accurate, or at least unbiased, forecasts of the hedonic outcomes of potential choices. The research we review shows that this condition is not satisfied: people do not always know what they will like; they often make systematic errors in predicting their future experience of outcomes and, as a result, fail to maximize their experienced utility. We discuss four areas in which errors of hedonic forecasting and choice have been documented: 1) where the emotional or motivational state of the agent is very different at t0 and at t1; 2) where the nature of the decision focuses attention on aspects of the outcome that will not be salient when it is actually experienced; 3) when choices are made on the basis of flawed evaluations of past experiences; and 4) when people forecast their future adjustment to new life circumstances.

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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!
431
Top 1%
Top 1%
Top 10%
gold