CRAN/E | semsfa

semsfa

Semiparametric Estimation of Stochastic Frontier Models

Installation

About

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.

Key Metrics

Version 1.1
R ≥ 3.1.2
Published 2018-04-20 2198 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Giancarlo Ferrara

giancarlo.ferrara@gmail.com

Authors

Giancarlo Ferrara
Francesco Vidoli

Material

Reference manual
Package source

In Views

Econometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

semsfa archive

Depends

R ≥ 3.1.2
mgcv
np
gamlss

Imports

moments
doParallel
foreach
iterators