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The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

The dynamics of health in the British Household Panel Survey

Contoyannis, Paul, Jones, Andrew M., Rice, Nigel·2004·Journal of Applied Econometrics

Abstract

This paper considers the dynamics of a categorical indicator of self‐assessed health using eight waves (1991–1998) of the British Household Panel Survey (BHPS). Our analysis has three focal points: the relative contributions of state dependence and heterogeneity in explaining the dynamics of health, the existence and consequences of health‐related sample attrition, and the investigation of the effects of measures of socioeconomic status, with a particular focus on educational attainment and income. To investigate these issues we use dynamic panel ordered probit models. There is clear evidence of health‐related attrition in the data but this does not distort the estimates of state dependence and of the socioeconomic gradient in health. The models show strong positive state dependence and heterogeneity accounts for around 30% of the unexplained variation in health. Copyright © 2004 John Wiley & Sons, Ltd.

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Metadata

Authors
Contoyannis, P., Jones, A. M., & Rice, N.
Venue
Journal of Applied Econometrics
Publisher
Wiley
Published
2004-07
Volume
19
Issue
4
Pages
473-503
ISSN
  • 0883-7252 (ISSN-L)
  • 1099-1255
OpenAlex
W1970274766
Cited by
639
References
45
FWCI
17.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The dynamics of health in the British Household Panel Survey. https://app.cochat.ai/papers/10.1002/jae.755
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Contoyannis, P., Jones, A. M., & Rice, N. (2004). The dynamics of health in the British Household Panel Survey. Journal of Applied Econometrics. https://doi.org/10.1002/jae.755

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.