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semsfa (version 1.1)

Semiparametric Estimation of Stochastic Frontier Models

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.

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Version

Install

install.packages('semsfa')

Monthly Downloads

386

Version

1.1

License

GPL

Maintainer

Giancarlo Ferrara

Last Published

April 20th, 2018

Functions in semsfa (1.1)

fan

Pseudolikelihood estimator of the \(\lambda\) parameter
efficiencies.semsfa

Prediction of the individual efficiency score
plot.semsfa

Default SEMSFA plotting
semsfa-package

Semiparametric Stochastic Frontier Models
semsfa

Semiparametric Estimation of Stochastic Frontier Models
summary.semsfa

Summary for semsfa object