IDEAS home Printed from https://ideas.repec.org/a/sgh/gosnar/y2017i2p29-43.html
   My bibliography  Save this article

Zmienne pominięte a luka płacowa kobiet - wnioski z analizy uwzględniającej wydajność

Author

Listed:
  • Anna Chojecka
  • Joanna Tyrowicz

Abstract

Celem artykułu jest zmierzenie skali obciążenia oszacowań luki płacowej kobiet, w warunkach, gdy wydajność nie jest obserwowalna. Korzystamy z unikatowych danych jednostkowych dotyczących wydajności i wynagrodzeń dla 2 292 pracowników polskiej firmy zajmującej się handlem detalicznym w branży odzieżowej. Korzystamy z parametrycznych metod dekompozycji do oszacowania skorygowanej luki płacowej z uwzględnieniem i bez uwzględnienia miar wydajności. Wyniki wskazują, że obciążenie wynikające z pominięcia miar wydajności jest istotne statystycznie i wysokie w sensie ekonomicznym, w niektórych specyfikacjach zasadniczo zmienia wnioskowanie o występowaniu nieuzasadnionej różnicy w wynagrodzeniach pomiędzy kobietami i mężczyznami. Większość oszacowań tzw. skorygowanej luki płacowej nie uwzględnia miar produktywności, głównie z uwagi na brak stosownych miar w dostępnych zbiorach. Choć wyniki zawarte w tym artykule dotyczą tylko jednego przedsiębiorstwa, dają przesłanki, by stwierdzić, że oszacowania, którymi posługuje się literatura, może cechować znaczne obciążenie.

Suggested Citation

  • Anna Chojecka & Joanna Tyrowicz, 2017. "Zmienne pominięte a luka płacowa kobiet - wnioski z analizy uwzględniającej wydajność," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 29-43.
    • Handle: RePEc:sgh:gosnar:y:2017:i:2:p:29-43
    as

    Download full text from publisher

    File URL: http://www.journalssystem.com/gna/pdf-100729-33182
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. Andreas Leibbrandt & John A. List, 2015. "Do Women Avoid Salary Negotiations? Evidence from a Large-Scale Natural Field Experiment," Management Science, INFORMS, vol. 61(9), pages 2016-2024, September.
    2. Brown, Charles & Medoff, James, 1978. "Trade Unions in the Production Process," Journal of Political Economy, University of Chicago Press, vol. 86(3), pages 355-378, June.
    3. Michał Grajek, 2003. "Gender Pay Gap in Poland," Economic Change and Restructuring, Springer, vol. 36(1), pages 23-44, March.
    4. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.),Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    5. Lisa B. Kahn & Fabian Lange, 2014. "Employer Learning, Productivity, and the Earnings Distribution: Evidence from Performance Measures," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1575-1613.
    6. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    7. Nicole M. Fortin, 2008. "The Gender Wage Gap among Young Adults in the United States: The Importance of Money versus People," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    8. Aleksandra Majchrowska & Paweł Strawiński, 2016. "Regional Differences in Gender Wage Gaps in Poland: New Estimates Based on Harmonized Data for Wages," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 8(2), pages 115-141, June.
    9. 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.
    10. Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-446, July.
    11. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    12. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    13. Anna Ruzik & Magdalena Rokicka, 2010. "The Gender Pay Gap in Informal Employment in Poland," CASE Network Studies and Analyses 406, CASE-Center for Social and Economic Research.
    14. 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.
    15. Karolina Goraus & Joanna Tyrowicz, 2014. "Gender Wage Gap in Poland – Can It Be Explained by Differences in Observable Characteristics?," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 36.
    16. Duncan, Gregory M & Leigh, Duane E, 1985. "The Endogeneity of Union Status: An Empirical Test," Journal of Labor Economics, University of Chicago Press, vol. 3(3), pages 385-402, July.
    17. Karolina Goraus & Joanna Tyrowicz & Lucas Velde, 2017. "Which Gender Wage Gap Estimates to Trust? A Comparative Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 118-146, March.
    18. 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.
    19. Bruno Crépon & Nicolas Deniau & Sébastien Pérez-Duarte, 2003. "Wages, Productivity and Worker Characteristics : A French Perspective," Working Papers 2003-04, Center for Research in Economics and Statistics.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    luka płacowa; wydajność; dekompozycja parametryczna;

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:sgh:gosnar:y:2017:i:2:p:29-43. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Grzegorz Konat). General contact details of provider: http://edirc.repec.org/data/sgwawpl.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.