• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo UVaDOCComunidadesPor fecha de publicaciónAutoresMateriasTítulos

    Mi cuenta

    Acceder

    Estadísticas

    Ver Estadísticas de uso

    Compartir

    Ver ítem 
    •   UVaDOC Principal
    • PRODUCCIÓN CIENTÍFICA
    • Departamentos
    • Dpto. Fundamentos del Análisis Económico e Historia e Instituciones Económicas
    • DEP34 - Artículos de revista
    • Ver ítem
    •   UVaDOC Principal
    • PRODUCCIÓN CIENTÍFICA
    • Departamentos
    • Dpto. Fundamentos del Análisis Económico e Historia e Instituciones Económicas
    • DEP34 - Artículos de revista
    • Ver ítem
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/27864

    Título
    Gender wage gap and education: a stochastic frontier approach
    Autor
    García Prieto, María del CarmenAutoridad UVA Orcid
    Gómez Costilla, PatriciaAutoridad UVA Orcid
    Año del Documento
    2017
    Editorial
    Emerald Insight
    Descripción
    Producción Científica
    Documento Fuente
    International Journal of Manpower , 2017, Vol. 38 Nº 3, pp: 504-516
    Resumen
    Purpose The purpose of this paper is to get deeper insight into the measurement of gender wage gap. A proper method to identify which part of gender wage differences is due to discrimination against women is provided, and the relationship between wage differences and education is studied. Design/methodology/approach The stochastic frontier approach is employed to measure wage discrimination against women by using Spanish data from the European Union Statistics on Income and Living Conditions. Mentioned technique allows the authors to split the gender wage gap of workers displaying the same characteristics into two components: the first measures inefficiency in the job search process caused by imperfect information or gender differences concerning preferences regarding working conditions, where as the second takes account of discrimination. Findings A significant level of discrimination is found in the Spanish labour market at all educational levels, but this problem is quantitatively more important when low-educated workers are studied, and gender discrimination is lower for highly educated women. Originality/value In this paper, workers’ potential wage is estimated, and gender discrimination is measured by the gender potential wage gap, since it is not dependent on other wage determinants such as diverse preferences, unmeasured working abilities or imperfect information.
    Palabras Clave
    Stochastic frontier
    Job Search
    Gender pay gap
    Returns to Education
    ISSN
    0143-7720
    Revisión por pares
    SI
    DOI
    10.1108/IJM-11-2015-0186
    Patrocinador
    Spanish Institute for Women Exp: 38-12 and Spanish Ministry of Economics and Competitivenes, National R&D Programme, FEM2013-433993-P
    Version del Editor
    http://www.emeraldinsight.com/doi/full/10.1108/IJM-11-2015-0186
    Propietario de los Derechos
    Emerald Publishing Limited 2017
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/27864
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP34 - Artículos de revista [49]
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    Nombre:
    PREPRINT-GENDER WAGE GAP AND EDUCATION.pdf
    Tamaño:
    388.2Kb
    Formato:
    Adobe PDF
    Thumbnail
    Visualizar/Abrir

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10