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Abstract

A method of decomposing the growth in total factor productivity into effects due to nonconstant returns to scale and technical change was applied to the U.S. agricultural sector. The scale effects and technical changes were measured using an economically estimated two-output, three-input translog cost model. Total factor productivity as conventionally measured grew at an average annual rate of 1.56% from 1950-82. This growth rate, however, misrepresented the rate of technical change in U.S. agriculture primarily due to the nonconstant scales effects.

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