Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated

DOI10.1016/0304-4076(80)90044-5zbMath0427.62091OpenAlexW2056375447WikidataQ127633831 ScholiaQ127633831MaRDI QIDQ1136468

Peter Schmidt, C. A. Knox Lovell

Publication date: 1980

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4076(80)90044-5

zbMATH Keywords

estimationstochastic productiontechnical inefficiencyallocative inefficiencycost frontiers

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Production theory, theory of the firm (91B38)

Related Items

Pitfalls in the estimation of a cost function that ignores allocative inefficiency: a Monte Carlo analysis, Estimation of technical and allocative inefficiency: a primal system approach, Endogeneity in stochastic frontier models, Dependence modeling in stochastic frontier analysis, Technical and allocative inefficiency in production systems: a vine copula approach, Modelling technical and allocative inefficiency in a translog production function, Stochastic frontier models with dependent error components, A survey of frontier production functions and of their relationship to efficiency measurement, On the estimation of a flexible frontier production model, Maximum likelihood estimation of stochastic frontier models with endogeneity, Efficiency measurement for multi-product industries: A comparison of classic and recent techniques based on simulated data, A simplification of the Kopp-Diewert method of decomposing cost efficiency and some implications

Cites Work

• Formulation and estimation of stochastic frontier production function models
• Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers
• Absolute moments in 2-dimensional normal distribution
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