In this paper, we assess the degree to which four of the most commonly used models of risky decision making can explain the choices individuals make when faced with risky prospects. To make this assessment, we use experimental evidence for two random samples of young adults. Using a robust, nonlinear least squares procedure, we estimate a model that is general enough to approximate Kahnenman and Tversky's prospect theory and that for certain parametric values will yield the expected utility model, a subjective expected utility model and a probability-transform model. We find that the four models considered explain the decision-making behavior of the majority of our subjects. Surprisingly, we find that the choice behavior of the largest number of subjects is consistent with a probability-transform model. Such models have only been developed recently and have not been used in applied settings. We find least support for the expected utility model -- the most widely used model of risky decision making.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
2716.
Length: Date of creation: Sep 1988 Date of revision: Handle: RePEc:nbr:nberwo:2716
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Matthew Shapiro & Mark Watson, 1988.
"Sources of Business Cycles Fluctuations,"
NBER Chapters,
in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156
National Bureau of Economic Research, Inc.
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