Revealed stochastic preference: a synthesis
By Daniel McFadden. 2005
221 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/c2f3652710524f9831818760d6ead319ff5be690
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Stephane Hess
- Mogens Fosgerau
- Michel Bierlaire
- Kenneth Train
- Y. Kitamura
- Daniel McFadden
- Moshe E. Ben-Akiva
- John Leahy
In General Decision Sciences
- John Leahy
- Andrew Caplin
- John A. Clithero
- Y. Kitamura
- Mark Dean
- Jörg Stoye
- Antonio Rangel
- Kenneth Train
Citations in the corpus
- Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis (2019, background): “11 McFadden (2006) summarizes the testable implications on choice probabilities that come from a population of preference maximizers.”
- On the Empirical Content of Quantal Response Equilibrium (2008, unknown): “Examples of empirical applications of QRE include Signorino (1999), Seim (2002), Goeree, Holt and Palfrey (2002), Bajari and Hortaçsu (2003) Sweeting (2004), and Augereau et al.”
- Revealed Preferences in a Heterogeneous Population (2014, background): “The closest predecessor to our identification analysis is the literature on integrability of stochastic demand (see, in particular, Falmagne, 1978; Barberà & Pattanaik, 1986; McFadden & Richter, 1991; McFadden, 2005).”
- The Computation of Stimulus Values in Simple Choice (2014, background): “In particular, a “pure SV” unit or region is responsive to the SVs but not to the ACs.”
- Using mixtures in econometric models: a brief review and some new results (2016, background): “12 McFadden and Richter (1991) show that a necessary and sufficient condition for the existence of such a distribution over preferences is the so-called axiom of revealed stochastic preferences (ARSP).”
- Rationally Inattentive Behavior: Characterizing and Generalizing Shannon Entropy (2017, methodology): “Implicit in this definition is the assumption that the expected utility function of the DM is part 8 In practice one might apply a model of this form to a population rather than an individual, as in the literature on discrete choice following McFadden [2005].”
- Choice Probability Generating Functions (2012, background): “Papers that deal with the relationship between characterization of choice models and integrability conditions in economic demand theory are Bates (2003), Ibáñez (2007), Ibáñez and Batley (2008), Koning and Ridder (2003), and McFadden (2005).”