Parameter-Free Elicitation of Utility and Probability Weighting Functions

By Mohammed Abdellaoui. 2000

1,006 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences

View Paper: https://www.semanticscholar.org/paper/4eed8382b4e73d538ec7ba1d66c8e98d56adf996

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Citations in the corpus

Loss aversion and mental accounting: the favorite-longshot bias in parimutuel betting (2012, neutral): “Furthermore, as suggested by numerous empirical studies (see, for example, Abdellaoui, 2000; Camerer, 1989; Starmer & Sugden, 1989), individuals do not evaluate the additional lottery according to expected utility theory, and prospect theory seems to be a much better positive theory for decision…”
Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility (2001, methodology): “transformation is an inverse S-shape ( Abdellaoui 2000, Bleichrodt and Pinto 2000,”
Reference-dependent utility with shifting reference points and incomplete preferences (2007, background): “…utility and to test the validity of decision models in different decision contexts, showing that such measurements are feasible and easily performed (e.g. Abdellaoui, 2000; Abdellaoui, Vossmann, & Weber, 2005; Bleichrodt & Pinto, 2000, 2005; Etchart-Vincent, 2004; Fennema & van Assen, 1998).”
Third-generation prospect theory (2008, background): “…of weights with over-weighting (under-weighting) of probabilities below (above) some critical probability π*. Inverse-S weighting has been reported across a wide range of empirical studies (Wu and Gonzalez 1996, 1999; Abdellaoui 2000; Bleichrodt and Pinto 2000; Abdellaoui, Vossmann and Weber 2005).”
Aggregating imprecise or conflicting beliefs: An experimental investigation using modern ambiguity theories (2012, neutral): “This paper quantitatively analyses ambiguity attitudes through matching probabilities, using Abdellaoui et al.’s (2011) indexes of pessimism and insensitivity.”
Risk Preferences Around the World (2015, background): “) Some researchers have also designed various parameter-free approaches to circumvent certain constraints and confounding factors induced by parametric forms (Abdellaoui 2000, Abdellaoui et al. 2007, Bleichrodt and Pinto 2000, Gonzalez and Wu 1999, Wakker and Deneffe 1996). In addition, a few more r”
What is Loss Aversion? (2005, background): “Recent non-parametric estimations of weighting functions for CPT indicate that w − is above w + away from the extreme probabilities (e.g., Abdellaoui, 2000; Abdellaoui, Vossmann, and Weber, 2003).”
Loss Averse Behavior (2005, background): “Recent studies on utility measurement use techniques that avoid biases resulting from probability distortions and loss aversion (e.g., Wakker and Deneffe, 1996; Abdellaoui, 2000; Bleichrodt, Pinto, and Wakker, 2001; Köbberling and Wakker, 2004).”
Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting (2011, result): “The average subproportionality index α amounts to 0.505, indicating a pronounced departure from linear probability weighting in line with previous findings (Tversky and Kahneman, 1992; Gonzalez and Wu, 1999; Abdellaoui, 2000).”
Probability Weighting in Choice under Risk: An Empirical Test (2001, background): “These properties are confirmed in the non-parametric studies by Gonzalez and Wu (1999), Abdellaoui (2000), and Bleichrodt and Pinto (2000).”
Rationality on the rise: Why relative risk aversion increases with stake size (2010, background): “That the value function for losses is not convex, as predicted by prospect theory, is not an unusual finding ( Abdellaoui 2000; Bruhin et al. 2007).”