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

Authors :
Caterina Francesca Guidi
Paolo Brunori
Alain Trannoy
Dipartimento di Scienze per l'Economia e l'Impresa, University of Florence, Florence, Italy
Polytechnic University of Bari
Aix-Marseille Sciences Economiques (AMSE)
École des hautes études en sciences sociales (EHESS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
University of Siena, Italy
This paper benefits from the support of the Norface project IMCHILD.
Università degli Studi di Firenze = University of Florence (UniFI)
Università degli Studi di Siena = University of Siena (UNISI)
Source :
Health Economics, Health Economics, Wiley, 2021, 30 (2), pp.358-383. ⟨10.1002/hec.4185⟩, Health Economics, 2021, 30 (2), pp.358-383. ⟨10.1002/hec.4185⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; 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.

Details

Language :
English
ISSN :
10579230 and 10991050
Database :
OpenAIRE
Journal :
Health Economics, Health Economics, Wiley, 2021, 30 (2), pp.358-383. ⟨10.1002/hec.4185⟩, Health Economics, 2021, 30 (2), pp.358-383. ⟨10.1002/hec.4185⟩
Accession number :
edsair.doi.dedup.....e093519b79357a1c0f88dd72c4abe25a