Stochastic models of choice behavior

By G. Becker, Morris H. Degroot, Jacob Marschak. 2007

208 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/0161884f35ca1713d23c4404d9e0e1ec18747fac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Nathaniel T. Wilcox
2. Glenn W. Harrison

In General Decision Sciences

1. Glenn W. Harrison
2. Nathaniel T. Wilcox
3. Jose Apesteguia
4. Miguel A. Ballester
5. Thierry Post
6. Guido Baltussen
7. Richard H. Thaler
8. M. V. Assem

In Management Science and Operations Research

1. Birgit Müller
2. Jürgen Groeneveld
3. Richard H. Thaler
4. Christian Klassert
5. Nathaniel T. Wilcox
6. Nina Schwarz
7. G. Dressler
8. Jule Schulze

Citations in the corpus

• Stochastic models for binary discrete choice under risk: a critical primer and econometric comparison (2008, methodology): “Good sources for the five models I consider here, as well as other models, are Becker et al. (1963a), Luce and Suppes (1965), Loomes and Sugden (1995), Busemeyer and Townsend (1993), Fishburn (1999), and Wilcox (2007a).”
• Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show (2008, methodology): “In the spirit of Becker et al. (1963) and Hey and Orme (1994), we assume that the “Deal or No Deal” decision of a given contestant Ni ,,1L= in a given game round 9,,1L=r is based on the difference between the continuation value and the stop value, i.e., )()( ,, riri xsvxcv − , plus some error.”
• Theoretical foundations of human decision-making in agent-based land use models - A review (2017, background): “Stochastic theories were promoted by Hey and Orme (1994), and Becker et al. (1963).”
• Monotone Stochastic Choice Models: The Case of Risk and Time Preferences (2015, background): “In other words, option x generates more aversion than y and hence can only be chosen by individuals with low aversion, that is, with low values of the preference parameter ω.(6) The notion of Ω-ordered pairs of alternatives is natural and applicable to the key comparisons in the different settings, ”
• NEUROECONOMICS: A CRITICAL RECONSIDERATION (2008, background): “The second italicized empirical claim completely ignores a large experimental literature, starting with the classic by Becker et al. (1963) and surveyed well by Hey (2005) and Loomes (2005).”