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On measuring income inequality
Auteur(s)
Editeur(s)
Date de parution
2023
Nombre de page
82
Résumé
L'inégalité des revenus est un sujet profond. Ma recherche ne vise en aucun cas à couvrir tous les aspects du sujet. À mon humble avis, la compréhension de l'inégalité des revenus, en dehors de la recherche statistique, nécessite une étude approfondie de la société humaine, de l'histoire et de la philosophie. Les statistiques n'aident pas à résoudre les questions d'inégalité des revenus en soi. Néanmoins, les statistiques fournissent une approche pour la mesurer. Cette recherche doctorale se concentre sur les questions relatives à la mesure de l'inégalité des revenus. Elle se concentre sur l'objectivité des mesures de l'inégalité des revenus, la précision de leur estimation et la quantification de l'incertitude de l'estimation.
ABSTRACT
Income inequality is a profound subject. My research by no means aims to cover every aspect of the subject. Comprehending income inequality, in my humble opinion, apart from statistical research, requires a deep investigation of human society, history and philosophy. Statistics does not help solve the questions of income inequality per se. Nevertheless, statistics provides an approach to measure it. This PhD research concentrates on the questions of measuring income inequality. It focuses on the objectivity of the income inequality measures, the accuracies of the estimation of them and the quantifications of the uncertainty of the estimation.
ABSTRACT
Income inequality is a profound subject. My research by no means aims to cover every aspect of the subject. Comprehending income inequality, in my humble opinion, apart from statistical research, requires a deep investigation of human society, history and philosophy. Statistics does not help solve the questions of income inequality per se. Nevertheless, statistics provides an approach to measure it. This PhD research concentrates on the questions of measuring income inequality. It focuses on the objectivity of the income inequality measures, the accuracies of the estimation of them and the quantifications of the uncertainty of the estimation.
Notes
Accepted by the examination committee:
Prof. Alina Matei Universit´e de Neuchˆatel Jury president
Prof. Yves Till´e Universit´e de Neuchˆatel Thesis director
Prof. Camelia Goga Universit´e de Franche-Comt´e Jury member
Prof. Anne Ruiz-Gazen Universit´e Toulouse Jury member
Dr. Alessio Guandalini Istituto nazionale di statistica Jury member
Thesis defended on 30 November 2023.
No de thèse : 3079
Prof. Alina Matei Universit´e de Neuchˆatel Jury president
Prof. Yves Till´e Universit´e de Neuchˆatel Thesis director
Prof. Camelia Goga Universit´e de Franche-Comt´e Jury member
Prof. Anne Ruiz-Gazen Universit´e Toulouse Jury member
Dr. Alessio Guandalini Istituto nazionale di statistica Jury member
Thesis defended on 30 November 2023.
No de thèse : 3079
Identifiants
Type de publication
doctoral thesis
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