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Performance Costs and Benefits of Collective Turnover: A Theory-Driven Measurement Framework and Applications

Author

Listed:
  • Zubanov, Nick

    (University of Konstanz)

  • Shakina, Elena

    (University of Vigo)

Abstract

Building on job matching theory, we model the effect of collective turnover on workplace performance as the total of its costs from operational disruptions and benefits from better job-worker match quality, each component varying with turnover level. The resulting theoretical turnover-performance relationship is generally curvilinear, nesting all the hitherto known patterns – linear, "U-shape" and "inverted U-shape" – as special cases, and lends itself to an empirically estimable regression model from which one can derive the implied costs and benefits of turnover. Applications to data from two retail firms reveal some benefits from turnover in one firm, and none in the other. Turnover costs exceed benefits in both firms.

Suggested Citation

  • Zubanov, Nick & Shakina, Elena, 2023. "Performance Costs and Benefits of Collective Turnover: A Theory-Driven Measurement Framework and Applications," IZA Discussion Papers 16413, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16413
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    References listed on IDEAS

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    1. Ferreira, Priscila & Taylor, Mark, 2011. "Measuring match quality using subjective data," Economics Letters, Elsevier, vol. 113(3), pages 304-306.
    2. Mark Gertler & Christopher Huckfeldt & Antonella Trigari, 2020. "Unemployment Fluctuations, Match Quality, and the Wage Cyclicality of New Hires," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1876-1914.
    3. Stoyanov, Andrey & Zubanov, Nikolay, 2014. "The distribution of the gains from spillovers through worker mobility between workers and firms," European Economic Review, Elsevier, vol. 70(C), pages 17-35.
    4. Guido Friebel & Matthias Heinz & Nikolay Zubanov, 2022. "Middle Managers, Personnel Turnover, and Performance: A Long‐Term Field Experiment in a Retail Chain," Management Science, INFORMS, vol. 68(1), pages 211-229, January.
    5. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-990, October.
    6. Zeynep Ton & Robert S. Huckman, 2008. "Managing the Impact of Employee Turnover on Performance: The Role of Process Conformance," Organization Science, INFORMS, vol. 19(1), pages 56-68, February.
    7. Qin Li & Ben Lourie & Alexander Nekrasov & Terry Shevlin, 2022. "Employee Turnover and Firm Performance: Large-Sample Archival Evidence," Management Science, INFORMS, vol. 68(8), pages 5667-5683, August.
    8. Jovanovic, Boyan, 1984. "Matching, Turnover, and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 92(1), pages 108-122, February.
    9. Sophie de Winne & Elise Marescaux & Luc Sels & Ilke van Beveren & Stijn Vanormelingen, 2019. "The impact of employee turnover and turnover volatility on labor productivity: a flexible non-linear approach," Post-Print hal-02998176, HAL.
    10. Andrey Stoyanov & Nikolay Zubanov, 2012. "Productivity Spillovers across Firms through Worker Mobility," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 168-198, April.
    11. Douglas H. Frank & Tomasz Obloj, 2014. "Firm‐specific human capital, organizational incentives, and agency costs: Evidence from retail banking," Strategic Management Journal, Wiley Blackwell, vol. 35(9), pages 1279-1301, September.
    12. Mortensen, Dale T. & Pissarides, Christopher A., 2016. "Job Matching, Wage Dispersion, and Unemployment," OUP Catalogue, Oxford University Press, number 9780198779995.
    13. Peter Kuhn & Lizi Yu, 2021. "How Costly Is Turnover? Evidence from Retail," Journal of Labor Economics, University of Chicago Press, vol. 39(2), pages 461-496.
    14. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    15. Rob Eisinga & Ben Pelzer, 2011. "Saddlepoint approximations to the mean and variance of the extended hypergeometric distribution," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(1), pages 22-31, February.
    16. Weller, Ingo & Hymer, Christina B. & Nyberg, Anthony J. & Ebert, Julia, 2019. "How Matching Creates Value: Cogs And Wheels For Human Capital Resources Research," Munich Reprints in Economics 78209, University of Munich, Department of Economics.
    17. John M. Barron & Mark C. Berger & Dan A. Black, 2006. "Selective Counteroffers," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 385-410, July.
    18. Hsu, Yu-Chin & Shiu, Ji-Liang, 2021. "Nonlinear Panel Data Models With Distribution-Free Correlated Random Effects," Econometric Theory, Cambridge University Press, vol. 37(6), pages 1075-1099, December.
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    More about this item

    Keywords

    employee turnover; performance;

    JEL classification:

    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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