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Chapter
A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application
In the metafrontier literature, firms are put into groups, generally defined by technology or geography. Each group has its own technological frontier, and the metafrontier is the upper bound of these group fr...
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Article
A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers
This paper proposes a stochastic frontier model with three composed errors, and therefore six error components. As in the metafrontier literature, firms belong to groups with a group-specific frontier. A firm ...
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Article
A Bayesian estimator for stochastic frontier models with errors in variables
A Bayesian estimator is proposed for a stochastic frontier model with errors in variables. The model assumes a truncated-normal distribution for the inefficiency and accommodates exogenous determinants of inef...