CRAN/E | npsf

npsf

Nonparametric and Stochastic Efficiency and Productivity Analysis

Installation

About

Nonparametric efficiency measurement and statistical inference via DEA type estimators (see Färe, Grosskopf, and Lovell (1994) doi:10.1017/CBO9780511551710, Kneip, Simar, and Wilson (2008) doi:10.1017/S0266466608080651 and Badunenko and Mozharovskyi (2020) doi:10.1080/01605682.2019.1599778) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see Kumbhakar and Lovell (2003) doi:10.1017/CBO9781139174411, Badunenko and Kumbhakar (2016) doi:10.1016/j.ejor.2016.04.049). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Key Metrics

Version 0.8.0
Published 2020-11-22 1257 days ago
Needs compilation? yes
License GPL-2
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Maintainer

Maintainer

Oleg Badunenko

oleg.badunenko@brunel.ac.uk

Authors

Oleg Badunenko

aut / cre

Pavlo Mozharovskyi

aut

Yaryna Kolomiytseva

aut

Material

ChangeLog
Reference manual
Package source

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

npsf archive

Depends

Formula

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snowFT
Rmpi

LinkingTo

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