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Are Firms Hiring Enough Workers? Firm-level Evidence from Finland’s Manufacturing and Service Industries

Author

Listed:
  • Kuosmanen, Natalia
  • Kuosmanen, Timo
  • Pajarinen, Mika

Abstract

Microeconomic theory posits that in competitive markets, wages are determined by the marginal revenue product of labor. This study empirically tests this theoretical prediction using comprehensive firm-level register data from Finland’s manufacturing and service industries in years 2000–2022. We estimate the marginal products of labor based on production functions estimated using both parametric and nonparametric methods, including convex expectile regression and its control function extension. We then compare the estimated marginal products with estimated marginal costs of labor. The estimated marginal products systematically exceed the marginal costs in all industries, which suggests that most Finnish firms are understaffed, employing less than profit-maximization in a competitive market would require. We find that marginal products are most closely aligned with marginal costs in traditional service sectors. In contrast, the marginal products exceed the marginal costs most notably in capital and knowledge-intensive manufacturing industries, such as pharmaceuticals, metal industries, and information services. Our findings reveal persistent and heterogeneous wage-productivity gaps in Finland despite the fact that Finland has strong unions and labor market institutions.

Suggested Citation

  • Kuosmanen, Natalia & Kuosmanen, Timo & Pajarinen, Mika, 2025. "Are Firms Hiring Enough Workers? Firm-level Evidence from Finland’s Manufacturing and Service Industries," ETLA Working Papers 133, The Research Institute of the Finnish Economy.
  • Handle: RePEc:rif:wpaper:133
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    References listed on IDEAS

    as
    1. Sheng Dai & Timo Kuosmanen & Xun Zhou, 2025. "Orthogonality conditions for convex regression," Papers 2506.21110, arXiv.org.
    2. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    3. Andrew Johnson & Timo Kuosmanen, 2011. "One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method," Journal of Productivity Analysis, Springer, vol. 36(2), pages 219-230, October.
    4. Timo Kuosmanen, 2008. "Representation theorem for convex nonparametric least squares," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 308-325, July.
    5. Shubhdeep Deb & Jan Eeckhout & Aseem Patel & Lawrence Warren, 2022. "What Drives Wage Stagnation: Monopsony or Monopoly?," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2181-2225.
    6. Frank, Robert H, 1984. "Are Workers Paid Their Marginal Products?," American Economic Review, American Economic Association, vol. 74(4), pages 549-571, September.
    7. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    8. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    9. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    10. repec:bge:wpaper:1361 is not listed on IDEAS
    11. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
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    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L80 - Industrial Organization - - Industry Studies: Services - - - General

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