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semsfa  

Semiparametric Estimation of Stochastic Frontier Models
View on CRAN: Click here


Download and install semsfa package within the R console
Install from CRAN:
install.packages("semsfa")

Install from Github:
library("remotes")
install_github("cran/semsfa")

Install by package version:
library("remotes")
install_version("semsfa", "1.1")



Attach the package and use:
library("semsfa")
Maintained by
Giancarlo Ferrara
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-18
Latest Update: 2018-04-20
Description:
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.
How to cite:
Giancarlo Ferrara (2015). semsfa: Semiparametric Estimation of Stochastic Frontier Models. R package version 1.1, https://cran.r-project.org/web/packages/semsfa. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2015-02-18 11:36)
Other packages that cited semsfa R package
View semsfa citation profile
Other R packages that semsfa depends, imports, suggests or enhances
Complete documentation for semsfa
Functions, R codes and Examples using the semsfa R package
Some associated functions: efficiencies.semsfa . fan . plot.semsfa . semsfa-package . semsfa . summary.semsfa . 
Some associated R codes: efficiencies.semsfa.R . plot.semsfa.R . semsfa.R . semsfa.summary.R .  Full semsfa package functions and examples
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