Please use this identifier to cite or link to this item: https://repositorio.insper.edu.br/handle/11224/4228
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dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR.pt_BR
dc.date.accessioned2022-10-11T15:07:59Z-
dc.date.available2022-10-11T15:07:59Z-
dc.date.issued2018-
dc.identifier.issn2225-1146pt_BR
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/4228-
dc.format.extent40 p.pt_BR
dc.format.mediumDigitalpt_BR
dc.language.isoInglêspt_BR
dc.publisherMDPIpt_BR
dc.relation.ispartofeconometricspt_BR
dc.relation.urihttps://www.mdpi.com/2225-1146/6/2/28pt_BR
dc.titleDecomposing Wage Distributions Using Recentered Influence Function Regressionspt_BR
dc.typeArtigo Científicopt_BR
dc.description.otherThis paper provides a detailed exposition of an extension of the Oaxaca-Blinder decomposition method that can be applied to various distributional measures. The two-stage procedure first divides distributional changes into a wage structure effect and a composition effect using a reweighting method. Second, the two components are further divided into the contribution of each explanatory variable using recentered influence function (RIF) regressions. We illustrate the practical aspects of the procedure by analyzing how the polarization of U.S. male wages between the late 1980s and the mid 2010s was affected by factors such as de-unionization, education, occupations, and industry changes.pt_BR
dc.subject.cnpqCiências Exatas e da Terrapt_BR
dc.subject.cnpqCiências Humanaspt_BR
dc.subject.keywordsdecomposition methodspt_BR
dc.subject.keywordsRIF-regressionspt_BR
dc.subject.keywordswage inequalitypt_BR
dc.identifier.doihttps://doi.org/10.3390/econometrics6020028pt_BR
dc.identifier.issue2pt_BR
dc.identifier.volume6pt_BR
dc.description.notesTexto Completopt_BR
dc.contributor.autorFirpo, Sergio Pinheiro-
dc.contributor.autorFort, Nicole M.-
dc.coverage.paisNão Informadopt_BR
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