semsfa (1.1)

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Semiparametric Estimation of Stochastic Frontier Models.

Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.

Maintainer: Giancarlo Ferrara
Author(s): Giancarlo Ferrara and Francesco Vidoli

License: GPL

Uses: doParallel, foreach, gamlss, iterators, mgcv, moments, np

Released almost 2 years ago.

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