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Identifying Sorting in Practice

Author

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  • Cristian Bartolucci
  • Francesco Devicienti
  • Ignacio Monzón

Abstract

We propose a novel methodology to uncover the sorting pattern in labor markets. We identify the strength of sorting solely from a ranking of firms by profits. To discern the sign of sorting, we build a noisy ranking of workers from wage data. Our test for the sign of sorting is consistent even with noisy worker rankings. We apply our approach to a panel dataset that combines social security earnings records with detailed financial data for firms in the Veneto region of Italy. We find robust evidence of positive sorting. The correlation between worker and firm types is about 52%.

Suggested Citation

  • Cristian Bartolucci & Francesco Devicienti & Ignacio Monzón, 2018. "Identifying Sorting in Practice," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 408-438, October.
  • Handle: RePEc:aea:aejapp:v:10:y:2018:i:4:p:408-38
    Note: DOI: 10.1257/app.20170068
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    References listed on IDEAS

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    1. Cristian Bartolucci, 2013. "Gender Wage Gaps Reconsidered: A Structural Approach Using Matched Employer-Employee Data," Journal of Human Resources, University of Wisconsin Press, vol. 48(4), pages 998-1034.
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    1. repec:bla:buecrs:v:71:y:2019:i:2:p:195-208 is not listed on IDEAS
    2. Alessia Matano & Paolo Naticchioni, 2017. "The Extent of Rent Sharing along the Wage Distribution," British Journal of Industrial Relations, London School of Economics, vol. 55(4), pages 751-777, December.
    3. Luca Paolo Merlino & Pierpaolo Parrotta & Dario Pozzoli, 2018. "Gender Differences in Sorting," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(4), pages 671-709, October.
    4. Benjamin Lochner & Bastian Schulz, 2016. "Labor Market Sorting in Germany," CESifo Working Paper Series 6066, CESifo Group Munich.
    5. Grinza, Elena & Quatraro, Francesco, 2019. "Workers’ replacements and firms’ innovation dynamics: New evidence from Italian matched longitudinal data," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    6. Andreas Gulyas, 2018. "Identifying Labor Market Sorting with Firm Dynamics," 2018 Meeting Papers 856, Society for Economic Dynamics.
    7. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. GORYUNOV, Maxim, 2017. "Sorting when firms have size," Economics Working Papers MWP 2017/09, European University Institute.

    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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