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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Behavioral Sciencearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Behavioral Science
Article . 1967 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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Inconsistent behavior in lottery choice experiments

Authors: F, Trenery Dolbear; L B, Lave;

Inconsistent behavior in lottery choice experiments

Abstract

College students made choices in binary lottery situations involving small amounts of money-payoffs ranged from $2.50 to -$1.00. Each of 52 subjects made 150 choices. Any of a number of choice models might be used to describe the outcome of such an experiment. However, no simple model (based on expected utility maximization) is capable of explaining all choices (of a particular subject)-there are always some inconsistent choices. The experiment was designed to isolate factors affecting inconsistency. Such research is aimed at improving the predictive ability of choice models by reducing the stochastic error. A choice model based on expected utility maximization was developed. The model was designed to maximize the internal consistency of each subject's choices. In all cases, some choices were found to be inconsistent with the model. Grouping the data in various ways, four factors hypothesized to affect inconsistency were tested: difference in dispersion of the payoffs, signs of the payoffs, order of the choice situation, and small changes in wealth. Applying classical statistical techniques, inconsistency was found to be related to the first three of these factors. Some implications of these results for expected utility models of choice are presented.

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Keywords

Adult, Motivation, Reward, Decision Making, Other commerce, management, tourism and services not elsewhere classified, Humans, Models, Theoretical, Probability

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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!
8
Average
Top 10%
Average
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