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Modeling the effect of competition using robust conditional nonparametric frontiers: Evidence from U.S. manufacturing sector

Author

Listed:
  • Polemis, Michael
  • Stengos, Thanasis
  • Tzeremes, Nickolaos

Abstract

The study applies the probabilistic framework of nonparametric frontier estimation in order to model the effect of competitive conditions on sectors’ production efficiency levels. We utilize conditional Order-m robust frontiers modeling the dynamic effects of competitive conditions on a sample of 462 U.S. 6-digit manufacturing sectors over the period 1958-2009. The results derived from the time-dependent robust conditional estimators unveil a non-linear relationship between market competition and productive efficiency. Our findings suggest that for higher competitive conditions the effect is positive up to a certain threshold point after which the effect becomes negative.

Suggested Citation

  • Polemis, Michael & Stengos, Thanasis & Tzeremes, Nickolaos, 2018. "Modeling the effect of competition using robust conditional nonparametric frontiers: Evidence from U.S. manufacturing sector," MPRA Paper 89240, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:89240
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Probabilistic frontier analysis; Conditional efficiency; Order-m estimators; U.S. manufacturing; Competition.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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