A stochastic frontier analysis approach for estimating market power in the major U.S. meat export markets

Dimitrios Panagiotou and Athanassios Stavrakoudis

MPRA Paper from University Library of Munich, Germany

Abstract: The present study estimates the degree of market power in the major U.S. beef and pork export destinations. The recently developed stochastic frontier (SF) estimator is used. Estimations of market and time specific Lerner indices are provided. Balanced panel data between 1980-2011 were employed. The average Lerner index is 39% for the U.S. beef exports and is the highest in the markets of ASEAN, Hong Kong/China, Japan, South Korea and Taiwan. For the U.S. pork exports, the average Lerner index is 16% and is the highest in the markets of Mexico and Taiwan.

Keywords: Stochastic frontier; market power; U.S. meat exports (search for similar items in EconPapers)
JEL-codes: D21 L22 L66 (search for similar items in EconPapers)
Date: 2018-09-22
New Economics Papers: this item is included in nep-com, nep-eff, nep-int, nep-ore and nep-sea
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Related works:
Journal Article: A Stochastic Frontier Analysis Approach for Estimating Market Power in the Major US Meat Export Markets (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:96128

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