Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)

Matias D. Cattaneo; Xinwei Ma; Yusufcan Masatlioglu

doi:10.1080/07350015.2023.2216740

Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)

Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Abstract–: Barseghyan and Molinari give sufficient conditions for semi-nonparametric point identification of parameters of interest in a mixture model of decision-making under risk, allowing for unobserved heterogeneity in utility functions and limited consideration. A key assumption in the model is that the heterogeneity of risk preferences is unobservable but context-independent. In this comment, we build on their insights and present identification results in a setting where the risk preferences are allowed to be context-dependent.

Original language	English (US)
Pages (from-to)	1030-1034
Number of pages	5
Journal	Journal of Business and Economic Statistics
Volume	41
Issue number	4
DOIs	https://doi.org/10.1080/07350015.2023.2216740
State	Published - 2023

All Science Journal Classification (ASJC) codes

Statistics and Probability
Social Sciences (miscellaneous)
Economics and Econometrics
Statistics, Probability and Uncertainty

Keywords

Discrete choice
Random limited consideration
Random utility
Semi-nonparametric identification

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10.1080/07350015.2023.2216740

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abstract = "Abstract–: Barseghyan and Molinari give sufficient conditions for semi-nonparametric point identification of parameters of interest in a mixture model of decision-making under risk, allowing for unobserved heterogeneity in utility functions and limited consideration. A key assumption in the model is that the heterogeneity of risk preferences is unobservable but context-independent. In this comment, we build on their insights and present identification results in a setting where the risk preferences are allowed to be context-dependent.",

keywords = "Discrete choice, Random limited consideration, Random utility, Semi-nonparametric identification",

author = "Cattaneo, {Matias D.} and Xinwei Ma and Yusufcan Masatlioglu",

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language = "English (US)",

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T2 - A Comment on Barseghyan and Molinari (2023)

AU - Cattaneo, Matias D.

AU - Ma, Xinwei

AU - Masatlioglu, Yusufcan

PY - 2023

Y1 - 2023

N2 - Abstract–: Barseghyan and Molinari give sufficient conditions for semi-nonparametric point identification of parameters of interest in a mixture model of decision-making under risk, allowing for unobserved heterogeneity in utility functions and limited consideration. A key assumption in the model is that the heterogeneity of risk preferences is unobservable but context-independent. In this comment, we build on their insights and present identification results in a setting where the risk preferences are allowed to be context-dependent.

AB - Abstract–: Barseghyan and Molinari give sufficient conditions for semi-nonparametric point identification of parameters of interest in a mixture model of decision-making under risk, allowing for unobserved heterogeneity in utility functions and limited consideration. A key assumption in the model is that the heterogeneity of risk preferences is unobservable but context-independent. In this comment, we build on their insights and present identification results in a setting where the risk preferences are allowed to be context-dependent.

KW - Discrete choice

KW - Random limited consideration

KW - Random utility

KW - Semi-nonparametric identification

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JO - Journal of Business and Economic Statistics

JF - Journal of Business and Economic Statistics

IS - 4

ER -

Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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