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Ranking populations in terms of inequality of health opportunity: A flexible latent type approach

Author

Listed:
  • Paolo BRUNORI,
  • Caterina Francesca GUIDI
  • Alain Trannoy

Abstract

We offer a flexible latent type approach to rank populations according to unequal health opportunities. Building upon the latent-class method proposed by Li Donni et al. (2015), our contribution is to let the number of types vary to obtain an opportunity-inequality curve for a population that gives how the between-type inequality varies with the number of types. A population A is said to have less inequality of opportunity than population B if its curve is statistically below that of population B. This version of the latent class approach allows for a robust ranking of 31 European countries regarding inequality of opportunity in health.

Suggested Citation

  • Paolo BRUNORI, & Caterina Francesca GUIDI & Alain Trannoy, 2020. "Ranking populations in terms of inequality of health opportunity: A flexible latent type approach," Working Papers - Economics wp2020_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    • Handle: RePEc:frz:wpaper:wp2020_01.rdf
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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 8th March 2021
      by Chris Sampson in The Academic Health Economists' Blog on 2021-03-08 12:00:01

    Citations

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    Cited by:

    1. Paolo Brunori & Guido Neidhöfer, 2021. "The Evolution of Inequality of Opportunity in Germany: A Machine Learning Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 900-927, December.
    2. Aizawa, Toshiaki, 2021. "Inequality of opportunity in infant mortality in South Asia: A decomposition analysis of survival data," Economics & Human Biology, Elsevier, vol. 43(C).
    3. Brunori, Paolo & Davillas, Apostolos & Jones, Andrew M. & Scarchilli, Giovanna, 2022. "Model-based Recursive Partitioning to Estimate Unfair Health Inequalities in the United Kingdom Household Longitudinal Study," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 543-565.
    4. Paolo Brunori & Francisco H.G. Ferreira & Pedro Salas-Rojo, "undated". "Inherited inequality: a general framework and an application to South Africa," Working Papers 658, ECINEQ, Society for the Study of Economic Inequality.
    5. Agar Brugiavini & Raluca Elena Buia & Matija Kovacic & Cristina Elisa Orso, 2020. "Adverse childhood experiences and risk behaviours later in life: Evidence from SHARE countries," Working Papers 2020:08, Department of Economics, University of Venice "Ca' Foscari".
    6. 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.
    7. Brunori, Paolo & Ferreira, Francisco H. G. & Salas-Rojo, Pedro, 2024. "Inherited Inequality: A General Framework and a 'Beyond-Averages' Application to South Africa," IZA Discussion Papers 17203, Institute of Labor Economics (IZA).
    8. Vincenzo Carrieri & Apostolos Davillas & Andrew M. Jones, 2023. "Equality of opportunity and the expansion of higher education in the UK," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 861-885, December.
    9. repec:osf:socarx:rgq7t_v1 is not listed on IDEAS
    10. Fafa Yan & Alec Zuo & Wen’e Qi & Zhimin Zhou, 2023. "The Effect of Ecological Management on Regional Health Inequality," IJERPH, MDPI, vol. 20(4), pages 1-22, February.

    More about this item

    Keywords

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    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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