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Abstract
Stochastic frontier analysis, which is used to estimate the technical efficiency, is
extended to examine the market structure, conduct and performance hypothesis for the
U.S. trucking industry. The technical efficiency measure takes into account not only the
relationship between inputs used in the production of output but also simultaneously
examine the importance of market structure conduct factors on the performance of the
firm. An empirical application to U.S. trucking carriers over the period 1994-2003 is
examined. Results reveal that the variables average haul, average load, debt-to-equity
and market concentration significantly affected technical efficiency. Capital, fixed and
variable input variables were significant in the production function equation.