This paper examines existing methods of estimating the translog production function and provides a general framework that allows for variable returns to scale. The model is based on the inverse input demand function and embeds a nonhomothetic production technology. Previous estimation methods are valid only for homogeneous technologies with fixed scale effects. Estimation results for U.S. manufacturing show that neither homotheticity and homogeneity nor constant returns to scale is a proper characterization of the underlying structure of production, thereby vindicating the empirical relevance of the inverse demand framework that entails a nonhomothetic technology.
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H. Youn Kim (1992) studied this question.
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