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A note on the estimation of competition-productivity nexus: A panel quantile approach

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  • Polemis, Michael

Abstract

We study the impact of product market competition on productivity in 462 US manufacturing sectors for the period 1958-2009 through the lens of a panel quantile regression analysis. We confirm that there is a nonmonotonic inverse-U relationship between competition and total factor productivity. We argue that the turning point increases substantially as we move to the higher quantiles of the productivity distribution function. Our findings survive robustness checks under alternative competition measure and quantile estimator.

Suggested Citation

  • Polemis, Michael, 2019. "A note on the estimation of competition-productivity nexus: A panel quantile approach," MPRA Paper 96808, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:96808
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    Cited by:

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    3. Inuwa, Nasiru & Adamu, Sagir & Hamza, Yusuf & Sani, Mohammed Bello, 2023. "Does dichotomy between resource dependence and resource abundance matters for resource curse hypothesis? New evidence from quantiles via moments," Resources Policy, Elsevier, vol. 81(C).
    4. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.

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    More about this item

    Keywords

    Quantile regression; Competition; Nonlinearities; Manufacturing; US;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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