A new laboratory experiment is designed to identify the best theories for describing decisions under risk. The experimental design has two noteworthy features: a representative sample of binary choice problems (for fair comparison across theories) and a lottery set with a small number of outcomes and probabilities (for ease of non-parametric estimation). We find that a simple heuristic, rank-dependent utility and expected utility theory provide the best goodness of fit. (C) 2013 Elsevier B.V. All rights reserved.
机构:
Northwestern Univ, Dept Econ, Evanston, IL 60208 USA
Tel Aviv Univ, Sch Econ, IL-69978 Tel Aviv, IsraelNorthwestern Univ, Dept Econ, Evanston, IL 60208 USA
Dekel, Eddie
Lipman, Barton L.
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Boston Univ, Dept Econ, Boston, MA 02215 USANorthwestern Univ, Dept Econ, Evanston, IL 60208 USA