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Heterogeneity in ordered choice models: a review with applications to self assessed health

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Heterogeneity in ordered choice models : a review with applications to self assessed health. / Greene, William; Harris, Mark N.; Hollingsworth, Bruce; Weterings, Timothy A.

In: Journal of Economic Surveys, Vol. 28, No. 1, 2014, p. 109-133.

Research output: Contribution to journalJournal article

Harvard

Greene, W, Harris, MN, Hollingsworth, B & Weterings, TA 2014, 'Heterogeneity in ordered choice models: a review with applications to self assessed health', Journal of Economic Surveys, vol. 28, no. 1, pp. 109-133. https://doi.org/10.1111/joes.12002

APA

Greene, W., Harris, M. N., Hollingsworth, B., & Weterings, T. A. (2014). Heterogeneity in ordered choice models: a review with applications to self assessed health. Journal of Economic Surveys, 28(1), 109-133. https://doi.org/10.1111/joes.12002

Vancouver

Author

Greene, William ; Harris, Mark N. ; Hollingsworth, Bruce ; Weterings, Timothy A. / Heterogeneity in ordered choice models : a review with applications to self assessed health. In: Journal of Economic Surveys. 2014 ; Vol. 28, No. 1. pp. 109-133.

Bibtex

@article{3617577c82d940bfa15dce2835a9ef26,
title = "Heterogeneity in ordered choice models: a review with applications to self assessed health",
abstract = "Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large data sets available to many economists, and are often the focus of research. However, assumptions underlying the standard ordered probit (which is usually used to analyse such variables) are not always justified by the data. This study provides a review of the ways in which the ordered probit might be extended to account for additional heterogeneity. Differing from other reviews in scope, application and relevance in economic settings, a series of issues pertaining to choices of variables, and the economic assumptions underlying each model are discussed in the context of measuring the underlying health of respondents. The models are applied to a wave of the household, income and labour dynamics in Australia survey, in order to check the appropriateness of such assumptions in an applied context.",
keywords = "HOPIT model, Incorporating heterogeneity, Maximum likelihood, Ordered choice modelling, Self-assessed health",
author = "William Greene and Harris, {Mark N.} and Bruce Hollingsworth and Weterings, {Timothy A.}",
year = "2014",
doi = "10.1111/joes.12002",
language = "English",
volume = "28",
pages = "109--133",
journal = "Journal of Economic Surveys",
issn = "0950-0804",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Heterogeneity in ordered choice models

T2 - a review with applications to self assessed health

AU - Greene, William

AU - Harris, Mark N.

AU - Hollingsworth, Bruce

AU - Weterings, Timothy A.

PY - 2014

Y1 - 2014

N2 - Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large data sets available to many economists, and are often the focus of research. However, assumptions underlying the standard ordered probit (which is usually used to analyse such variables) are not always justified by the data. This study provides a review of the ways in which the ordered probit might be extended to account for additional heterogeneity. Differing from other reviews in scope, application and relevance in economic settings, a series of issues pertaining to choices of variables, and the economic assumptions underlying each model are discussed in the context of measuring the underlying health of respondents. The models are applied to a wave of the household, income and labour dynamics in Australia survey, in order to check the appropriateness of such assumptions in an applied context.

AB - Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large data sets available to many economists, and are often the focus of research. However, assumptions underlying the standard ordered probit (which is usually used to analyse such variables) are not always justified by the data. This study provides a review of the ways in which the ordered probit might be extended to account for additional heterogeneity. Differing from other reviews in scope, application and relevance in economic settings, a series of issues pertaining to choices of variables, and the economic assumptions underlying each model are discussed in the context of measuring the underlying health of respondents. The models are applied to a wave of the household, income and labour dynamics in Australia survey, in order to check the appropriateness of such assumptions in an applied context.

KW - HOPIT model

KW - Incorporating heterogeneity

KW - Maximum likelihood

KW - Ordered choice modelling

KW - Self-assessed health

U2 - 10.1111/joes.12002

DO - 10.1111/joes.12002

M3 - Journal article

VL - 28

SP - 109

EP - 133

JO - Journal of Economic Surveys

JF - Journal of Economic Surveys

SN - 0950-0804

IS - 1

ER -