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The Anatomy of Sorting—Evidence From Danish Data

Author

Listed:
  • Rasmus Lentz
  • Suphanit Piyapromdee
  • Jean‐Marc Robin

Abstract

In this paper, we formulate and estimate a flexible model of job mobility and wages with two‐sided heterogeneity. The analysis extends the finite mixture approach of Bonhomme, Lamadon, and Manresa (2019) and Abowd, McKinney, and Schmutte (2019) to develop a new Classification Expectation‐Maximization algorithm that ensures both worker and firm latent‐type identification using wage and mobility variations in the data. Workers receive job offers in worker‐type segmented labor markets. Offers are accepted according to a logit form that compares the value of the current job with that of the new job. In combination with flexibly estimated layoff and job finding rates, the analysis quantifies the four different sources of sorting: job preferences, segmentation, layoffs, and job finding. Job preferences are identified through job‐to‐job moves in a revealed preference argument. They are in the model structurally independent of the identified job wages, possibly as a reflection of the presence of amenities. We find evidence of a strong pecuniary motive in job preferences. While the correlation between preferences and current job wages is positive, the net present value of the future earnings stream given the current job correlates much more strongly with preferences for it. This is more so for short‐ than long‐tenure workers. In the analysis, we distinguish between type sorting and wage sorting. Type sorting is quantified by means of the mutual information index. Wage sorting is captured through correlation between identified wage types. While layoffs are less important than the other channels, we find all channels to contribute substantially to sorting. As workers age, job arrival processes are the key determinant of wage sorting, whereas the role of job preferences dictate type sorting. Over the life cycle, job preferences intensify, type sorting increases, and pecuniary considerations wane.

Suggested Citation

  • Rasmus Lentz & Suphanit Piyapromdee & Jean‐Marc Robin, 2023. "The Anatomy of Sorting—Evidence From Danish Data," Econometrica, Econometric Society, vol. 91(6), pages 2409-2455, November.
  • Handle: RePEc:wly:emetrp:v:91:y:2023:i:6:p:2409-2455
    DOI: 10.3982/ECTA16425
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    References listed on IDEAS

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    1. Robert E. Hall & Andreas I. Mueller, 2018. "Wage Dispersion and Search Behavior: The Importance of Nonwage Job Values," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1594-1637.
    2. Jeremy Lise & Fabien Postel-Vinay, 2020. "Multidimensional Skills, Sorting, and Human Capital Accumulation," American Economic Review, American Economic Association, vol. 110(8), pages 2328-2376, August.
    3. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    4. Jeremy Lise & Costas Meghir & Jean-Marc Robin, 2016. "Matching, Sorting and Wages," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 19, pages 63-87, January.
    5. Susana Iranzo & Fabiano Schivardi & Elisa Tosetti, 2008. "Skill Dispersion and Firm Productivity: An Analysis with Employer-Employee Matched Data," Journal of Labor Economics, University of Chicago Press, vol. 26(2), pages 247-285, April.
    6. repec:hal:spmain:info:hdl:2441/c8dmi8nm4pdjkuc9g8grh35j2 is not listed on IDEAS
    7. repec:hal:spmain:info:hdl:2441/78hlmdbud88hhp5vbdddivv2hu is not listed on IDEAS
    8. Gregor Jarosch, 2021. "Searching for Job Security and the Consequences of Job Loss," NBER Working Papers 28481, National Bureau of Economic Research, Inc.
    9. Fabien Postel-Vinay & Jean-Marc Robin, 2002. "Equilibrium Wage Dispersion with Worker and Employer Heterogeneity," Econometrica, Econometric Society, vol. 70(6), pages 2295-2350, November.
    10. David Card & Ana Rute Cardoso & Patrick Kline, 2016. "Bargaining, Sorting, and the Gender Wage Gap: Quantifying the Impact of Firms on the Relative Pay of Women," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 633-686.
    11. Isaac Sorkin, 2018. "Ranking Firms Using Revealed Preference," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1331-1393.
    12. 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.
    13. Lentz, Rasmus, 2010. "Sorting by search intensity," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1436-1452, July.
    14. Martins, Pedro S., 2008. "Dispersion in wage premiums and firm performance," Economics Letters, Elsevier, vol. 101(1), pages 63-65, October.
    15. Ernesto Villanueva, 2007. "Estimating Compensating Wage Differentials Using Voluntary Job Changes: Evidence from Germany," ILR Review, Cornell University, ILR School, vol. 60(4), pages 544-561, July.
    16. Harry J. Holzer & Julia I. Lane & Lars Vilhuber, 2004. "Escaping Low Earnings: The Role of Employer Characteristics and Changes," ILR Review, Cornell University, ILR School, vol. 57(4), pages 560-578, July.
    17. Jarosch, Gregor, 2021. "Searching for Job Security and the Consequences of Job Loss," CEPR Discussion Papers 15814, C.E.P.R. Discussion Papers.
    18. Andreas Hornstein & Per Krusell & Giovanni L. Violante, 2011. "Frictional Wage Dispersion in Search Models: A Quantitative Assessment," American Economic Review, American Economic Association, vol. 101(7), pages 2873-2898, December.
    19. Ilse Lindenlaub, 2017. "Sorting Multidimensional Types: Theory and Application," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 718-789.
    20. Celeux, Gilles & Govaert, Gerard, 1992. "A classification EM algorithm for clustering and two stochastic versions," Computational Statistics & Data Analysis, Elsevier, vol. 14(3), pages 315-332, October.
    21. M. J. Andrews & L. Gill & T. Schank & R. Upward, 2008. "High wage workers and low wage firms: negative assortative matching or limited mobility bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 673-697, June.
    22. Jesper Bagger & Rasmus Lentz, 2019. "An Empirical Model of Wage Dispersion with Sorting," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 153-190.
    23. Adrian O’Hagan & Thomas Brendan Murphy & Luca Scrucca & Isobel Claire Gormley, 2019. "Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap," Computational Statistics, Springer, vol. 34(4), pages 1779-1813, December.
    24. repec:hal:spmain:info:hdl:2441/dc0ckec3fcb29ms985085gkbp is not listed on IDEAS
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