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Better Workers Move to Better Firms: A Simple Test to Identify Sorting

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  • Bartolucci, Cristian

    ()
    (Collegio Carlo Alberto)

  • Devicienti, Francesco

    ()
    (University of Turin)

Abstract

We propose a simple test that uses information on workers' mobility, wages and firms' profits to identify the sign and strength of assortative matching. The basic intuition underlying our empirical strategy is that, in the presence of positive (negative) assortative matching, good workers are more (less) likely to move to better firms than bad workers. Assuming that agents' payoffs are increasing in their own types, our test exploits within-firm variation on wages to rank workers by their types and firm profits to rank firms. We use a panel data set that combines social security earnings records for workers in the Veneto region of Italy with detailed balance-sheet data for firms. We find robust evidence that positive assortative matching is pervasive in the labor market. This result is in contrast with what we find from correlating the worker and firm fixed effects in standard Mincerian wage equations.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 7601.

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Length: 53 pages
Date of creation: Aug 2013
Date of revision:
Handle: RePEc:iza:izadps:dp7601

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Keywords: assortative matching; worker mobility; wages; profits; matched employer-employee data;

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Cited by:
  1. Ryan Michaels & Michele Battisti, 2013. "Coordinated labor Supply within the Firm: Evidence and Implications," 2013 Meeting Papers, Society for Economic Dynamics 1116, Society for Economic Dynamics.
  2. Burdín, Gabriel, 2013. "Equality under Threat by the Talented: Evidence from Worker-Managed Firms," IZA Discussion Papers 7854, Institute for the Study of Labor (IZA).
  3. Merlino, Luca Paolo & Parrotta, Pierpaolo & Pozzoli, Dario, 2014. "Gender Differences in Sorting," Working Papers 01-2014, Copenhagen Business School, Department of Economics.
  4. Michele Battisti, 2013. "High Wage Workers and High Wage Peers," Ifo Working Paper Series Ifo Working Paper No. 168, Ifo Institute for Economic Research at the University of Munich.
  5. Bagger, Jesper & Sørensen, Kenneth L. & Vejlin, Rune, 2013. "Wage sorting trends," Economics Letters, Elsevier, Elsevier, vol. 118(1), pages 63-67.

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