Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function

William H Greene

New York University, Leonard N. Stern School Finance Department Working Paper Seires from New York University, Leonard N. Stern School of Business-

Abstract: The normal-gamma stochastic forntier model was proposed in Greene and Beckers and Hammond as an extension of the normal-exponential proposed in the original derivations of the stochastic frontier by Aigner, Lovell, and Schmidt. The normal-gamma model has the virtue of providing a richer and more flexible parameterization of the inefficiency distribution in the stochastic frontier model than either of the canonical forms, normal-half norma and normal-exponential.

Keywords: MODELS; DISTRIBUTION; MATHEMATICAL ANALYSIS (search for similar items in EconPapers)
JEL-codes: C73 D33 (search for similar items in EconPapers)
Date: 2000
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Working Paper: Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function (2000)
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