Measuring wage inequality under right censoring

Detalhes bibliográficos
Autor(a) principal: Nicolau, João
Data de Publicação: 2023
Outros Autores: Raposo, Pedro, Rodrigues, Paulo M. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/40480
Resumo: A conditional tail index estimator is introduced which explicitly allows for right-tail censoring (top-coding). We show that the factor values used to adjust top-coded wages have changed over time and depend on individuals' characteristics, occupations and industries, and propose suitable values. Specifically, contrasting the results of our approach with those of a conservative fixed adjustment factor of 1.5 (used in the literature), suggests that wage inequality in 2017 measured with the Gini coefficient is larger than that suggested by the fixed adjustment factor.
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spelling Measuring wage inequality under right censoringCurrent population surveyOccupationsParetoTail indexTop-codingWage inequalityWeekly wage distributionA conditional tail index estimator is introduced which explicitly allows for right-tail censoring (top-coding). We show that the factor values used to adjust top-coded wages have changed over time and depend on individuals' characteristics, occupations and industries, and propose suitable values. Specifically, contrasting the results of our approach with those of a conservative fixed adjustment factor of 1.5 (used in the literature), suggests that wage inequality in 2017 measured with the Gini coefficient is larger than that suggested by the fixed adjustment factor.Veritati - Repositório Institucional da Universidade Católica PortuguesaNicolau, JoãoRaposo, PedroRodrigues, Paulo M. M.2023-03-08T11:37:26Z2023-042023-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/40480eng0095-258310.1111/ecin.1311985136950522000846466800001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-12T17:46:01Zoai:repositorio.ucp.pt:10400.14/40480Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:33:12.788308Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Measuring wage inequality under right censoring
title Measuring wage inequality under right censoring
spellingShingle Measuring wage inequality under right censoring
Nicolau, João
Current population survey
Occupations
Pareto
Tail index
Top-coding
Wage inequality
Weekly wage distribution
title_short Measuring wage inequality under right censoring
title_full Measuring wage inequality under right censoring
title_fullStr Measuring wage inequality under right censoring
title_full_unstemmed Measuring wage inequality under right censoring
title_sort Measuring wage inequality under right censoring
author Nicolau, João
author_facet Nicolau, João
Raposo, Pedro
Rodrigues, Paulo M. M.
author_role author
author2 Raposo, Pedro
Rodrigues, Paulo M. M.
author2_role author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Nicolau, João
Raposo, Pedro
Rodrigues, Paulo M. M.
dc.subject.por.fl_str_mv Current population survey
Occupations
Pareto
Tail index
Top-coding
Wage inequality
Weekly wage distribution
topic Current population survey
Occupations
Pareto
Tail index
Top-coding
Wage inequality
Weekly wage distribution
description A conditional tail index estimator is introduced which explicitly allows for right-tail censoring (top-coding). We show that the factor values used to adjust top-coded wages have changed over time and depend on individuals' characteristics, occupations and industries, and propose suitable values. Specifically, contrasting the results of our approach with those of a conservative fixed adjustment factor of 1.5 (used in the literature), suggests that wage inequality in 2017 measured with the Gini coefficient is larger than that suggested by the fixed adjustment factor.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-08T11:37:26Z
2023-04
2023-04-01T00:00:00Z
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dc.language.iso.fl_str_mv eng
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10.1111/ecin.13119
85136950522
000846466800001
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