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Replacing Workers: Is It a Boon or a Bane for Firm Productivity?

Author

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  • Elena Grinza

    (Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino, Italy)

Abstract

Using a uniquely rich longitudinal matched employer-employee data set, this paper is the first to investigate the impact of replacing workers, as measured by excess worker turnover, on firm productivity. Using a modified version of the method proposed by Ackerberg et al. (2006), that allows to take into account unobserved heterogeneity, an augmented production function with excess worker turnover entering as the regressor of interest is estimated. The main result is that replacing workers is beneficial to firm productivity. A 1 standard deviation increase in the excess worker turnover rate is estimated to increase productivity by 0.81%. The possibility of finding more suitable employer-employee matches and the presence of knowledge spillover effects are seen as the main determinants of the impact. Robustness checks indicate that the impact has an inverted U-shape, suggesting that, beyond a certain point, replacing workers ends up being harmful. However, since about 90% of firms lie before this point, increases in excess worker turnover are beneficial for the vast majority of them. They also suggest that the effect is diversified across different categories of firms. High-tech firms and firms belonging to industrial districts benefit the most from excess worker turnover. On the contrary, young and very small firms seem to even suffer from it.

Suggested Citation

  • Elena Grinza, 2016. "Replacing Workers: Is It a Boon or a Bane for Firm Productivity?," Working papers 034, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
  • Handle: RePEc:tur:wpapnw:034
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    File URL: http://www.bemservizi.unito.it/repec/tur/wpapnw/m34.pdf
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    References listed on IDEAS

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    Cited by:

    1. 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.

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    More about this item

    Keywords

    Workers’ replacement; excess worker turnover; job-matching; knowledge spillovers; firm-specific human capital; semiparametric estimation methods; ACF-FE.;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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