Munich Personal RePEc Archive

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

Panagiotou, Dimitrios and Stavrakoudis, Athanassios (2018): A stochastic frontier analysis approach for estimating market power in the major U.S. meat export markets. Forthcoming in: Journal of Industry, Competition and Trade

[img] PDF
MPRA_paper_96128.pdf

Download (1MB)

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.

UB_LMU-Logo
MPRA is a RePEc service hosted by
the Munich University Library in Germany.