A Stochastic Frontier Analysis Approach for Estimating Market Power in the Major US Meat Export Markets

Dimitrios Panagiotou () and Athanassios Stavrakoudis
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Dimitrios Panagiotou: University of Ioannina

Journal of Industry, Competition and Trade, 2020, vol. 20, issue 3, No 5, 569-586

Abstract: Abstract The present study estimates the degree of market power in the major US 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 and 2011 were employed. The average Lerner index is 39% for the US beef exports and is the highest in the markets of ASEAN, Hong Kong/China, Japan, South Korea, and Taiwan. For the US 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: 2020
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Citations: View citations in EconPapers (2)

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Working Paper: A stochastic frontier analysis approach for estimating market power in the major U.S. meat export markets (2018)
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DOI: 10.1007/s10842-019-00319-y

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