Random Choice as Behavioral Optimization
By Faruk Gul, Paulo Natenzon, Wolfgang Pesendorfer. 2014
159 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/89b11165542e74e01ed4b9c7977be11759178173
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Citations in the corpus
- Monotone Stochastic Choice Models: The Case of Risk and Time Preferences (2015, methodology): “In order to test this prediction empirically, we rank subjects in terms of their revealed risk aversion, using a simple method that relies neither on RUMs, nor on RPMs.”
- Stochastic Choice and Revealed Perturbed Utility (2015, unknown): “Gul, Natenzon, and Pesendorfer (2014) introduced “attribute rules” which are related to nested logit.”
- Stochastic Choice and Consideration Sets (2012, methodology): “Can we infer the preference ordering from the choice data? One way to extend the revealed preference ordering of rational deterministic choice to stochastic choices is to declare a b i¤ p (a;A) > p (b; A) for some menu A (see GNP [16]).”