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Ex ante Inequality of Opportunity in Health among the Elderly in China: A Distributional Decomposition Analysis of Biomarkers

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  • Lanlin Ding
  • Andrew M. Jones
  • Peng Nie

Abstract

Using pooled data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS) linked with the 2014 CHARLS Life History Survey, we analyse ex ante inequality of opportunity (IOp) in blood‐based biomarkers among Chinese adults aged 60+. We apply a re‐centered influence function approach and a Shapley‐Shorrocks decomposition to partition the contributions of different sets of measured circumstances and find that these account for between 2.01 percent and 23.95 percent of total health inequality across the range of biomarkers. The decompositions show that spatial circumstances such as urban/rural and province of residence at birth are the dominant factors for most of the biomarkers. Distributional decompositions further reveal that the relative contributions of household socioeconomic status and health and nutrition in childhood increase in the right tails of the distribution, where the clinical risk is focused, for most of the biomarkers.

Suggested Citation

  • Lanlin Ding & Andrew M. Jones & Peng Nie, 2022. "Ex ante Inequality of Opportunity in Health among the Elderly in China: A Distributional Decomposition Analysis of Biomarkers," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 922-950, December.
    • Handle: RePEc:bla:revinw:v:68:y:2022:i:4:p:922-950
    DOI: 10.1111/roiw.12514
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    3. Enza Simeone, 2023. "Inequality in health status during the COVID-19 in the UK: does the impact of the second lockdown policy matter?," Working Papers 661, ECINEQ, Society for the Study of Economic Inequality.
    4. Davillas, Apostolos & Jones, Andrew M, 2020. "Ex ante inequality of opportunity in health, decomposition and distributional analysis of biomarkers," Journal of Health Economics, Elsevier, vol. 69(C).
    5. Vincenzo Carrieri & Apostolos Davillas & Andrew M. Jones, 2020. "A latent class approach to inequity in health using biomarker data," Health Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 808-826, July.
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    11. Parra-Mujica, F. & Robson, M. & Cookson, R., 2021. "Socioeconomic Health Inequalities: Differences Between and Within Individuals," Health, Econometrics and Data Group (HEDG) Working Papers 21/15, HEDG, c/o Department of Economics, University of York.
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    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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