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Mixture models of choice under risk

[journal article]

Conte, Anna
Hey, John D.
Moffatt, Peter G.

Abstract

"This paper is concerned with estimating preference functionals for choice under risk from the choice behaviour of individuals. We note that there is heterogeneity in behaviour between individuals and within individuals. By ‘heterogeneity between individuals’ we mean that people are different, in te... view more

"This paper is concerned with estimating preference functionals for choice under risk from the choice behaviour of individuals. We note that there is heterogeneity in behaviour between individuals and within individuals. By ‘heterogeneity between individuals’ we mean that people are different, in terms of both their preference functionals and their parameters for these functionals. By ‘heterogeneity within individuals’ we mean that behaviour may be different even by the same individual for the same choice problem. We propose methods of taking into account all forms of heterogeneity, concentrating particularly on using a Mixture Model to capture the heterogeneity of preference functionals." [author's abstract]... view less

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
Expected utility theory; Maximum simulated likelihood; Mixture models; Rank dependent expected utility theory; Heterogeneity;

Document language
English

Publication Year
2009

Page/Pages
p. 79-88

Journal
Journal of Econometrics, 162 (2009) 1

DOI
https://doi.org/10.1016/j.jeconom.2009.10.011

Status
Postprint; peer reviewed

Licence
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.