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Social Indicators Research

Erschienen in:

25.01.2016

Socioeconomic Inequalities in Health in China: A Reassessment with Data from the 2010–2012 China Family Panel Studies

verfasst von: Hongwei Xu, Yu Xie

Erschienen in: Social Indicators Research | Ausgabe 1/2017

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Abstract

Despite well documented high levels of socioeconomic inequalities, health gradients by socioeconomic status (SES) in contemporary China have been reported to be limited. Using data from the 2010–2012 China Family Panel Studies, we reexamine associations between three sets of SES—human capital, material conditions, and political capital—and self-rated health among Chinese adults 18–70 years old, capitalizing on anchoring vignette data to adjust for reporting heterogeneity. We find strong evidence of substantial variations in reporting behaviors by education, cognition, and family wealth but not by family income or political capital. Failing to correct for reporting heterogeneity can bias the estimates of SES gradients in self-rated health as much as nearly 40 %. After vignette adjustment, we find significantly positive associations of education, family income, wealth, and political capital with self-rated health. Individuals’ cognitive capacity, however, does not predict self-rated health.

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The scale in the standard ordered probit model is normalized to 1 (i.e., the error term is assumed to follow a standard normal distribution), while it is estimated in HOPIT models.

By imposing the cut-points estimated from the vignettes data onto self assessment, we can identify the constant term and the variance of the error term in the equation of individual’s own latent health instead of fixing them to be 0 and 1, respectively, as in an ordered probit model.

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Titel: Socioeconomic Inequalities in Health in China: A Reassessment with Data from the 2010–2012 China Family Panel Studies
verfasst von: Hongwei Xu
Yu Xie
Publikationsdatum: 25.01.2016
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 1/2017
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-016-1244-2

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