IDEAS home Printed from https://ideas.repec.org/p/hhs/gunwpe/0315.html
   My bibliography  Save this paper

Part-Time Penalty in Sweden: Evidence from Quantile Regression

Author

Listed:
  • Wahlberg, Roger

    () (Department of Economics, School of Business, Economics and Law, Göteborg University)

Abstract

This study analyzes the part-time penalty in Sweden using quantile regression. We find that the estimated part-time wage differential is negative across the whole wage distribution. OLS overestimates the part-time penalty at the bottom of the distribution, and underestimates it at the top. The estimated part-time wage gap rises across the distribution, and there is a sharp acceleration in the increase starting around the 75th percentile, especially for men. Consequently, we find evidence of a glass ceiling in part-time employment for both men and women in the Swedish labor market.

Suggested Citation

  • Wahlberg, Roger, 2008. "Part-Time Penalty in Sweden: Evidence from Quantile Regression," Working Papers in Economics 315, University of Gothenburg, Department of Economics.
  • Handle: RePEc:hhs:gunwpe:0315
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/2077/17895
    Download Restriction: no

    References listed on IDEAS

    as
    1. Alan Manning & Barbara Petrongolo, 2008. "The Part-Time Pay Penalty for Women in Britain," Economic Journal, Royal Economic Society, vol. 118(526), pages 28-51, February.
    2. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    3. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    4. 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.
    5. Joan R. Rodgers, 2004. "Hourly Wages of full-time and part-time employees in Australia," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(2), pages 231-254, June.
    6. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    7. Inés Hardoy & Pål Schøne, 2006. "The Part-Time Wage Gap in Norway: How Large is It "Really"?," British Journal of Industrial Relations, London School of Economics, vol. 44(2), pages 263-282, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wolf, Elke, 2010. "Lohndifferenziale zwischen Vollzeit- und Teilzeitbeschäftigten in Ost- und Westdeutschland," WSI Working Papers 174, The Institute of Economic and Social Research (WSI), Hans-Böckler-Foundation.
    2. Joel Karlsson & Jonas Månsson, 2014. "Getting a full-time job as a part-time unemployed: How much does spatial context matter?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 179-195, August.
    3. Elke Wolf, 2014. "The German Part-Time Wage Gap: Bad News for Men," SOEPpapers on Multidisciplinary Panel Data Research 663, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Wolf, Elke, 2013. "The German part-time wage gap: bad news for men," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79969, Verein für Socialpolitik / German Economic Association.

    More about this item

    Keywords

    Part-time penalty; quantile regression; counterfactual distribution; glass ceiling;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:hhs:gunwpe:0315. 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: (Marie Andersson). General contact details of provider: http://edirc.repec.org/data/naiguse.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.