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A New Approach to the Gender Pay Gap Decomposition by Economic Activity
dc.contributor.author | Lombardía, María José | |
dc.contributor.author | López Vizcaíno, María Esther | |
dc.contributor.author | Rueda, Cristina | |
dc.date.accessioned | 2023-12-12T14:47:46Z | |
dc.date.available | 2023-12-12T14:47:46Z | |
dc.date.issued | 2022-01 | |
dc.identifier.citation | M. J. Lombardía, E. López-Vizcaíno, y C. Rueda, «A New Approach to the Gender Pay Gap Decomposition by Economic Activity», Journal of the Royal Statistical Society Series A: Statistics in Society, vol. 185, n.º 1, pp. 219-245, ene. 2022, doi: 10.1111/rssa.12742. | es_ES |
dc.identifier.issn | 1467-985X | |
dc.identifier.uri | http://hdl.handle.net/2183/34463 | |
dc.description | This is a pre-copyedited, author-produced version of an article accepted for publication in Journal of the Royal Statistical Society Series A: Statistics in Society, following peer review. The version of record [M. J. Lombardía, E. López-Vizcaíno, y C. Rueda, «A New Approach to the Gender Pay Gap Decomposition by Economic Activity», Journal of the Royal Statistical Society Series A: Statistics in Society, vol. 185, n.º 1, pp. 219-245, ene. 2022] is available online at: https://doi.org/10.1111/rssa.12742. | es_ES |
dc.description.abstract | [Abstract]: The aim of this paper is to present an original approach to estimate the gender pay gap (GPG). We propose a model-based decomposition, similar to the most popular approaches, where the first component measures differences in group characteristics and the second component measures the unexplained effect; the latter being the real gap. The novel approach incorporates model selection and bias correction. The pay gap problem in a small area context is considered in this paper, although the approach is flexible to be applied to other contexts. Specifically, the methodology is validated for analysing wage differentials by economic activities in the region of Galicia (Spain) and by analysing simulated data from an experimental design that imitates the generation of real data. The good performance of the proposed estimators is shown in both cases, specifically when compared with those obtained from the widely used Oaxaca–Blinder approach. | es_ES |
dc.description.sponsorship | Supported by the MINECO grants MTM2017-82724-R, MTM2015-71217-R, and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C 2020/14 and Centro de Investigación del Sistema universitario de Galicia ED431G 2019/01), all of them through the ERDF. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/14 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Oxford University Press | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSION | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+I Orientada a los Retos de la Sociedad/MTM2015-71217-R/ES/DISEÑO E IMPLEMENTACION DE NUEVOS PROCEDIMENTOS DE INFERENCIA ESTADISTICA CON RESTRICCIONES PARA RESOLVER APLICACIONES EN BIOMEDICINA Y OTROS AMBITOS | es_ES |
dc.relation.uri | https://doi.org/10.1111/rssa.12742 | es_ES |
dc.rights | © 2021 Royal Statistical Society | es_ES |
dc.subject | Gender pay gap | es_ES |
dc.subject | Model selection | es_ES |
dc.subject | Nested error regression model | es_ES |
dc.subject | Small area estimation | es_ES |
dc.subject | Oxaca-blinder decomposition | es_ES |
dc.title | A New Approach to the Gender Pay Gap Decomposition by Economic Activity | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Journal of the Royal Statistical Society Series A: Statistics in Society | es_ES |
UDC.volume | 185 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 219 | es_ES |
UDC.endPage | 245 | es_ES |
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