IDEAS home Printed from https://ideas.repec.org/p/diw/diwsop/diw_sp557.html
   My bibliography  Save this paper

Ökonometrische Verfahren zur Messung von Lohndiskriminierung: eine theoretische und empirische Studie

Author

Listed:
  • Carsten Hundertmark

Abstract

In Deutschland liegt der durchschnittliche Lohn einer weiblichen Arbeitskraft unter dem einer männlichen Arbeitskraft. Diese Lohnunterschiede werden in politischen Debatten manchmal als Anzeichen dafür gewertet, dass viele Unternehmer Frauen diskriminieren. Allerdings ist zu beachten, dass selbst auf einem Arbeitsmarkt ohne Diskriminierung unterschiedliche Menschen Löhne in unterschiedlicher Höhe erhalten würden. Das alleinige Beobachten von Lohnunterschieden zwischen großen Gruppen erlaubt keine Aussagen über die Gewichtigkeit der Diskriminierung. Bei sämtlichen vorgestellten Verfahren wird die Lohnlücke in einen durch unterschiedliche Humankapitalausstattungen erklärten Teil und einen unerklärten Teil, der als Maß für Diskriminierung interpretiert werden kann, zerlegt. Methodische Ansätze sind ebenso Gegenstand der nachfolgenden Ausführungen wie die Darstellung empirischer Ergebnisse, die sich auf den deutschen Arbeitsmarkt konzentrieren.

Suggested Citation

  • Carsten Hundertmark, 2013. "Ökonometrische Verfahren zur Messung von Lohndiskriminierung: eine theoretische und empirische Studie," SOEPpapers on Multidisciplinary Panel Data Research 557, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp557
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.421918.de/diw_sp0557.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    2. Appleton, Simon & Hoddinott, John & Krishnan, Pramila, 1999. "The Gender Wage Gap in Three African Countries," Economic Development and Cultural Change, University of Chicago Press, vol. 47(2), pages 289-312, January.
    3. Miller, Paul W, 1987. "The Wage Effect of the Occupational Segregation of Women in Britain," Economic Journal, Royal Economic Society, vol. 97(388), pages 885-896, December.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    7. Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 2003. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 887-922, October.
    8. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    9. Suen, Wing, 1997. "Decomposing Wage Residuals: Unmeasured Skill or Statistical Artifact?," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 555-566, July.
    10. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    11. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    12. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    13. Blaise Melly, 2005. "Public-private sector wage differentials in Germany: Evidence from quantile regression," Empirical Economics, Springer, vol. 30(2), pages 505-520, September.
    14. Barbara R. Bergmann, 1974. "Occupational Segregation, Wages and Profits When Employers Discriminate by Race or Sex," Eastern Economic Journal, Eastern Economic Association, vol. 1(2), pages 103-110, April.
    15. Elaine Sorensen, 1990. "The Crowding Hypothesis and Comparable Worth," Journal of Human Resources, University of Wisconsin Press, vol. 25(1), pages 55-89.
    16. Dolton, Peter J & Kidd, Michael P, 1994. "Occupational Access and Wage Discrimination," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(4), pages 457-474, November.
    17. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    18. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
    2. Diego Emilio Linthon-Delgado & Lizethe Berenice Méndez-Heras, 2022. "Descomposición de la brecha salarial de género en el Ecuador," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(1), pages 1-25, Enero - M.
    3. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    4. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2019. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2).
    5. Matuszewska-Janica Aleksandra, 2018. "Differences in Men’s and Women’s Wages in the Education Sector in the Baltic Sea Region States," Folia Oeconomica Stetinensia, Sciendo, vol. 18(1), pages 157-168, June.
    6. Günalp, Burak & Cilasun, Seyit Mümin & Acar, Elif Öznur, 2013. "Male-Female Labor Market Participation and the Extent of Gender-Based Wage Discrimination in Turkey," MPRA Paper 51503, University Library of Munich, Germany.
    7. Tilahun Temesgen, 2006. "Decomposing Gender Wage Differentials in Urban Ethiopia: Evidence from Linked Employer-Employee (LEE) Manufacturing Survey Data," Global Economic Review, Taylor & Francis Journals, vol. 35(1), pages 43-66.
    8. Rassou R., 1993. "Statistical measurement of gender wage differentials," ILO Working Papers 992920693402676, International Labour Organization.
    9. Christophe Nordman & François Roubaud, 2005. "Reassessing the Gender Wage Gap: Does Labour Force Attachment Really Matter? Evidence from Matched Labour Force and Biographical Surveys in Madagascar," Working Papers 16, ECINEQ, Society for the Study of Economic Inequality.
    10. El Moctar LAGHLAL, 2018. "Decomposition of urban-rural inequality in Mauritania," LEO Working Papers / DR LEO 2587, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    11. H Gravelle & A Risa Hole, 2008. "Measuring and testing for gender discrimination in professions: the case of English family doctors," Discussion Papers 08/27, Department of Economics, University of York.
    12. Heinze, Anja, 2010. "Beyond the mean gender wage gap: Decomposition of differences in wage distributions using quantile regression," ZEW Discussion Papers 10-043, ZEW - Leibniz Centre for European Economic Research.
    13. Jakub Picka, 2014. "Problém "public-private pay gap" v České republice [The Public-Private Pay Gap in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 662-682.
    14. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    15. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    16. Andreas Peichl & Nico Pestel & Sebastian Siegloch, 2013. "The politicians’ wage gap: insights from German members of parliament," Public Choice, Springer, vol. 156(3), pages 653-676, September.
    17. Jaume Garcia Villar & Pedro J. Hernández & Ángel López-Nicolás, 2002. "An investigation of the relationship between job characteristics and the gender wage gap," Economics Working Papers 627, Department of Economics and Business, Universitat Pompeu Fabra.
    18. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    19. Zhang, Li & Sharpe, Rhonda Vonshay & Li, Shi & Darity, William A., 2016. "Wage differentials between urban and rural-urban migrant workers in China," China Economic Review, Elsevier, vol. 41(C), pages 222-233.
    20. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Arbeit; Geschlecht; Ökonometrie;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwsop:diw_sp557. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/sodiwde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.