IDEAS home Printed from https://ideas.repec.org/p/man/sespap/0615.html
   My bibliography  Save this paper

High wage workers and low wage firms: Negative assortative matching or statistical artefact?

Author

Listed:
  • M. Andrews
  • L. Gill
  • R. Upward

Abstract

In the empirical literature on the estimation of firm and worker heterogeneity using linked employer-employee data, unobserved worker quality appears to be negatively correlated with unobserved firm quality. We investigate the possibility that this is simply caused by standard estimation error and develop formulae that show that the estimated correlation is biased downwards if there is true positive assortative matching and when any conditioning covariates are uncorrelated with the firm and worker fixed effects. This result applies to any two-way (or higher) error-components model estimated by fixed-effects methods. We apply these bias corrections to a large German linked employer-employee dataset. We find that although the biases can be considerable, they are not sufficiently large to remove the negative correlation entirely.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • M. Andrews & L. Gill & R. Upward, 2006. "High wage workers and low wage firms: Negative assortative matching or statistical artefact?," The School of Economics Discussion Paper Series 0615, Economics, The University of Manchester.
  • Handle: RePEc:man:sespap:0615
    as

    Download full text from publisher

    File URL: http://hummedia.manchester.ac.uk/schools/soss/economics/discussionpapers/EDP-0615.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. John P. Haisken-DeNew & Christoph M. Schmidt, 2000. "Interindustry and Interregion Differentials: Mechanics and Interpretation," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 516-521, August.
    2. Martyn Andrews & Thorsten Schank & Richard Upward, 2006. "Practical fixed-effects estimation methods for the three-way error-components model," Stata Journal, StataCorp LP, vol. 6(4), pages 461-481, December.
    3. Gruetter, Max & Lalive, Rafael, 2009. "The importance of firms in wage determination," Labour Economics, Elsevier, vol. 16(2), pages 149-160, April.
    4. Andrews, Martyn J. & Schank, Thorsten & Upward, Richard, 2004. "Practical estimation methods for linked employer-employee data," Discussion Papers 29, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    5. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    6. John M. Abowd (corresponding) & Francis Kramarz, 2004. "Are Good Workers Employed by Good Firms? A Simple Test of Positive Assortative Matching Models," Econometric Society 2004 North American Winter Meetings 385, Econometric Society.
    7. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    8. Krueger, Alan B & Summers, Lawrence H, 1988. "Efficiency Wages and the Inter-industry Wage Structure," Econometrica, Econometric Society, vol. 56(2), pages 259-293, March.
    9. Bender, Stefan & Haas, Anette & Klose, Christoph, 2000. "IAB Employment Subsample 1975-1995 Opportunities for Analysis Provided by the Anonymised Subsample," IZA Discussion Papers 117, Institute for the Study of Labor (IZA).
    10. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710 Elsevier.
    11. Alda, Holger & Bender, Stefan & Gartner, Hermann, 2005. "The linked employer-employee dataset of the IAB (LIAB)," IAB Discussion Paper 200506, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Goux, Dominique & Maurin, Eric, 1999. "Persistence of Interindustry Wage Differentials: A Reexamination Using Matched Worker-Firm Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 492-533, July.
    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. Jahn, Elke J. & Wagner, Thomas, 2006. "Base Period, Qualifying Period and the Equilibrium Rate of Unemployment," Discussion Papers 43, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    2. Woodcock, Simon D., 2015. "Match effects," Research in Economics, Elsevier, vol. 69(1), pages 100-121.
    3. Hirsch, Boris, 2007. "Joan Robinson Meets Harold Hotelling : A Dyopsonistic Explanation of the Gender Pay Gap," Discussion Papers 51, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    4. Navon, Guy & Tojerow, Ilan, 2006. "The Effects of Rent-Sharing on the Gender Wage Gap in the Israeli Manufacturing Sector," IZA Discussion Papers 2361, Institute for the Study of Labor (IZA).
    5. Andrews, Martyn & Schank, Thorsten & Upward, Richard, 2004. "Practical estimation methods for linked employer-employee data," IAB Discussion Paper 200403, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Ferreira, Priscila, 2009. "Returns to job mobility: the role of observed and unobserved factors," ISER Working Paper Series 2009-12, Institute for Social and Economic Research.
    7. Woodcock Simon D, 2010. "Heterogeneity and Learning in Labor Markets," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-69, September.
    8. Simon Clark, 2007. "Matching and Sorting when Like Attracts Like," ESE Discussion Papers 171, Edinburgh School of Economics, University of Edinburgh.

    More about this item

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:man:sespap:0615. 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: (Marianne Sensier). General contact details of provider: http://edirc.repec.org/data/semanuk.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.