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- W1796183963 abstract "The technical inefficiency of a production unit can be viewed as resulting in a one—sided residual with respect to a production function which has been estimated. In order to take into account some exogenous information (describing e.g. the environment of a particular firm), new explanatory variables are introduced through a log-linear regression of the one—sided residuals on those exogenous factors of inefficiency. Several specifications are considered for the distributions of those residuals : Gamma, Weibull, Log—Normal and Log—Logistic. For each of those models, a maximum likelihood procedure of estimation is proposed including the estimation of the production function and of the parameters of the log—linear regression. It appears that the variance-covariance matrix of the scores has the same structure in each case. The asymptotic variance of the M.L.E. of the parameters is also computed. Finally, in connections with a least squares estimation, a scoring method is presented for computing algebraicly estimators of the parameters of the model having the same asymptotical properties as the M.L.E." @default.
- W1796183963 created "2016-06-24" @default.
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- W1796183963 date "1986-01-01" @default.
- W1796183963 modified "2023-09-27" @default.
- W1796183963 title "Modelling technical inefficiencies with log-linear regression for one sided residuals" @default.
- W1796183963 hasPublicationYear "1986" @default.
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