Semiparametric Stochastic Frontier Models


Semiparametric Estimation of Stochastic Frontier Models following the two step procedure originally proposed by Fan et al (1996) and further developed also by Vidoli and Ferrara (2014). In the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions regards the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood or method of moment estimators.


Giancarlo Ferrara, Francesco Vidoli
Maintainer: Giancarlo Ferrara <>


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Vidoli, F., Ferrara, G., 2014. Analyzing Italian citrus sector by semi-nonparametric frontier efficiency models. Empirical Economics doi 10.1007/s00181-014-0879-6

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