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

Author

Listed:
  • Paolo Brunori

    (UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence, Polytechnic University of Bari / Politecnico di Bari)

  • Caterina Francesca Guidi

    (UNISI - Università degli Studi di Siena = University of Siena)

  • Alain Trannoy

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

We offer a flexible latent type approach to rank populations according to unequal health opportunities. Building upon the latent-class method, an approch increasingly adopted to estimate health inequalities, our contribution is to let the number of socioeconomic groups considered 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, 2023. "Ranking populations in terms of inequality of health opportunity: A flexible latent type approach," Working Papers hal-03079053, HAL.
    • Handle: RePEc:hal:wpaper:hal-03079053
    DOI: 10.1002/hec.4185
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03079053
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