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High wage workers match with high wage firms: Clear evidence of the effects of limited mobility bias

Author

Listed:
  • Andrews, M.J.
  • Gill, L.
  • Schank, T.
  • Upward, R.
Abstract
Limited Mobility Bias explains why positive assortative matching is not observed in the empirical literature. Using German social security records, we estimate the correlation between worker and firm contributions to wage equations and find that it is unambiguously positive.

Suggested Citation

  • Andrews, M.J. & Gill, L. & Schank, T. & Upward, R., 2012. "High wage workers match with high wage firms: Clear evidence of the effects of limited mobility bias," Economics Letters, Elsevier, vol. 117(3), pages 824-827.
    • Handle: RePEc:eee:ecolet:v:117:y:2012:i:3:p:824-827
    DOI: 10.1016/j.econlet.2012.07.033
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    References listed on IDEAS

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    1. Robert Shimer & Lones Smith, 2000. "Assortative Matching and Search," Econometrica, Econometric Society, vol. 68(2), pages 343-370, March.
    2. Gruetter, Max & Lalive, Rafael, 2009. "The importance of firms in wage determination," Labour Economics, Elsevier, vol. 16(2), pages 149-160, April.
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    6. Woodcock, Simon D., 2015. "Match effects," Research in Economics, Elsevier, vol. 69(1), pages 100-121.
    7. Jan Eeckhout & Philipp Kircher, 2011. "Identifying Sorting--In Theory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 872-906.
    8. Mendes, Rute & van den Berg, Gerard J. & Lindeboom, Maarten, 2010. "An empirical assessment of assortative matching in the labor market," Labour Economics, Elsevier, vol. 17(6), pages 919-929, December.
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    More about this item

    Keywords

    Employer–employee panels; Limited mobility bias; Positive assortative matching;
    All these keywords.

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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