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

Author

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  • Andrews, Martyn J.
  • Gill, Len
  • Schank, Thorsten
  • Upward, Richard

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.

Suggested Citation

  • Andrews, Martyn J. & Gill, Len & Schank, Thorsten & Upward, Richard, 2006. "High wage workers and low wage firms : negative assortative matching or statistical artefact?," Discussion Papers 42, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
  • Handle: RePEc:zbw:faulre:42
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    References listed on IDEAS

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    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. Andrews, Martyn J. & Gill, Len & Schank, Thorsten & Upward, Richard, 2006. "High wage workers and low wage firms : negative assortative matching or statistical artefact?," Discussion Papers 42, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    7. 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.
    8. 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.
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    10. repec:eee:labchp:v:3:y:1999:i:pb:p:2629-2710 is not listed on IDEAS
    11. 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 of Labor Economics (IZA).
    12. 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.
    13. 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].
    14. 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.
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    Cited by:

    1. Jahn, Elke J. & Wagner, Thomas, 2006. "Base period, qualifying period and the equilibrium rate of unemployment," IAB-Discussion Paper 200610, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. 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.
    3. Antoni, Manfred & Jahn, Elke J., 2006. "Do changes in regulation affect employment duration in temporary work agencies?," IAB-Discussion Paper 200618, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Tuomas Pekkarinen & Chris Riddell, 2008. "Performance Pay and Earnings: Evidence from Personnel Records," ILR Review, Cornell University, ILR School, vol. 61(3), pages 297-319, April.
    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. M. Andrews & L. Gill & R. Upward, 2006. "High wage workers and low wage firms: Negative assortative matching or statistical artefact?," Economics Discussion Paper Series 0615, Economics, The University of Manchester.
    7. 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 of Labor Economics (IZA).
    8. Woodcock, Simon D., 2015. "Match effects," Research in Economics, Elsevier, vol. 69(1), pages 100-121.
    9. 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.
    10. 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.
    11. Simon Clark, 2007. "Matching and Sorting when Like Attracts Like," Edinburgh School of Economics Discussion Paper Series 171, Edinburgh School of Economics, University of Edinburgh.

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    More about this item

    Keywords

    linked employee-employer panel data; biases; fixed-effects;
    All these keywords.

    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

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