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A latent class approach to inequity in health using biomarker data

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  • Carrieri, Vincenzo
  • Davillas, Apostolos
  • Jones, Andrew M.

Abstract

We develop an empirical approach to analyse, measure and decompose Inequality of Opportunity (IOp) in health, based on a latent class model. This addresses some of the limitations that affect earlier work in this literature concerning the definition of types, such as partial observability, the ad hoc selection of circumstances, the curse of dimensionality and unobserved type-specific heterogeneity that may lead to either upwardly or downwardly biased estimates of IOp. We apply the latent class approach to measure IOp in allostatic load, a composite measure of our biomarker data. Using data from Understanding Society (UKHLS), we find that a latent class model with three latent types best fits the data and that these types differ in terms of their observed circumstances. Decomposition analysis shows that about two-thirds of the total inequality in allostatic load can be attributed to the direct and indirect contribution of circumstances.

Suggested Citation

  • Carrieri, Vincenzo & Davillas, Apostolos & Jones, Andrew M., 2019. "A latent class approach to inequity in health using biomarker data," ISER Working Paper Series 2019-09, Institute for Social and Economic Research.
  • Handle: RePEc:ese:iserwp:2019-09
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    File URL: https://www.iser.essex.ac.uk/research/publications/working-papers/iser/2019-09.pdf
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 15th June 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-06-15 11:00:19

    Citations

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    Cited by:

    1. Davillas, Apostolos & Jones, Andrew M., 2021. "The First Wave of the COVID-19 Pandemic and Its Impact on Socioeconomic Inequality in Psychological Distress in the UK," IZA Discussion Papers 14057, Institute of Labor Economics (IZA).
    2. Davillas, Apostolos & Jones, Andrew M., 2020. "The COVID-19 pandemic and its impact on inequality of opportunity in psychological distress in the UK," ISER Working Paper Series 2020-07, Institute for Social and Economic Research.
    3. Ding, L. & Jones, A.M. & Nie, P., 2020. "Ex ante Inequality of Opportunity in Health among the Elderly in China: A Distributional Decomposition Analysis of Biomarkers," Health, Econometrics and Data Group (HEDG) Working Papers 20/10, HEDG, c/o Department of Economics, University of York.
    4. Nie, Peng & Ding, Lanlin & Jones, Andrew M., 2020. "Inequality of Opportunity in Bodyweight among Middle-Aged and Older Chinese: A Distributional Approach," IZA Discussion Papers 13421, Institute of Labor Economics (IZA).
    5. Davillas, A. & Jones, A.M., 2021. "The first wave of the COVID-19 pandemic and its impact on socioeconomic inequality in psychological distress in the UK," Health, Econometrics and Data Group (HEDG) Working Papers 21/01, HEDG, c/o Department of Economics, University of York.

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    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • 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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