swMATH ID: 33881
Software Authors: Giancarlo Ferrara; Francesco Vidoli
Description: R package semsfa: 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.
Homepage: https://cran.r-project.org/web/packages/semsfa/index.html
Source Code:  https://github.com/cran/semsfa
Dependencies: R
Related Software: spfrontier; GAMLSS; R; mgcv; frontier; np; ssfa; JOUSBoost; psymonitor; matconv; tsDyn; ada; glmnet; psych
Cited in: 2 Publications

Cited in 1 Serial

1 Handbook of Statistics

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