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• W2186035937 abstract "This paper aims to facilitate the derivation of models that can capture the classical choice anomalies and provide useful forecasts of decisions under risk and ambiguity. Study 1 replicates 14 well-known anomalies (including Allais and Ellsberg paradoxes). Subjects faced each of 30 problems for 25 trials, and received feedback starting at trial 6. Study 2 examines 60 choice problems randomly drawn from a space that generalizes the 30 replication problems. The results reveal the robustness of the classical anomalies, but show that the popular descriptive models cannot capture all the phenomena with one set of parameters. We address this difficulty by organizing a choice prediction competition (see http://departments.agri.huji.ac.il/cpc2015). The participants (other researchers) are challenged to predict the results of Study 3, which will include 60 new problems drawn by the same method and from the same space as the problems in Study 2." @default.
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• W2186035937 date "2015-01-01" @default.
• W2186035937 modified "2023-09-27" @default.
• W2186035937 title "From Anomalies to Forecasts: A Choice Prediction Competition for Decisions under Risk and Ambiguity" @default.
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