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

Michael Polemis (), Thanasis Stengos and Nickolaos Tzeremes

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Probabilistic frontier analysis; Conditional efficiency; Order-m estimators; U.S. manufacturing; Competition. (search for similar items in EconPapers)
JEL-codes: C14 L60 O14 (search for similar items in EconPapers)
Date: 2018-09-01
New Economics Papers: this item is included in nep-com and nep-eff
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:89240

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