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On the use of the factor share approach to measure labor market power

Author

Listed:
  • Carlos Casacuberta

    (Universidad de la Republica)

  • Nestor Gandelman

    (Universidad ORT Uruguay)

Abstract

The production approach to market power estimation requires accurate measures of output-input elasticities. This note shows that when there is employer or employee market power in labor markets, the cost share approach cannot identify the output-labor elasticity needed to estimate the labor market power indicator. A naïve application of this method biases the labor market power indicator towards perfect competition. Therefore, researchers should implement alternative estimation strategies, as the econometric estimation of the production function.

Suggested Citation

  • Carlos Casacuberta & Nestor Gandelman, 2025. "On the use of the factor share approach to measure labor market power," Economics Bulletin, AccessEcon, vol. 45(3), pages 1365-1375.
  • Handle: RePEc:ebl:ecbull:eb-25-00091
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, February.
    2. Mertens, Matthias, 2020. "Labor market power and the distorting effects of international trade," International Journal of Industrial Organization, Elsevier, vol. 68(C).
    3. Jan De Loecker & Frederic Warzynski, 2012. "Markups and Firm-Level Export Status," American Economic Review, American Economic Association, vol. 102(6), pages 2437-2471, October.
    4. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    5. 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.
    6. 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.
    7. Mertens, Matthias, 2022. "Micro-mechanisms behind declining labor shares: Rising market power and changing modes of production," International Journal of Industrial Organization, Elsevier, vol. 81(C).
    8. Mertens, Matthias & Mottironi, Bernardo, 2023. "Do larger firms exert more market power? Markups and markdowns along the size distribution," LSE Research Online Documents on Economics 121283, London School of Economics and Political Science, LSE Library.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
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    Cited by:

    1. Santiago Acerenza & Nestor Gandelman, 2026. "The Markup falsification Adaptative Set," Papers 2605.30493, arXiv.org, revised Jun 2026.

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    Keywords

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    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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