ssfa: Spatial Stochastic Frontier Analysis

Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.

Version: 1.1
Depends: Matrix, maxLik, spdep, sp
Suggests: R.rsp
Published: 2015-06-10
Author: Elisa Fusco, Francesco Vidoli
Maintainer: Elisa Fusco <fusco_elisa at libero.it>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: Econometrics
CRAN checks: ssfa results

Downloads:

Reference manual: ssfa.pdf
Vignettes: Spatial Stochastic frontier models: Instructions for use
Package source: ssfa_1.1.tar.gz
Windows binaries: r-devel: ssfa_1.1.zip, r-release: ssfa_1.1.zip, r-oldrel: ssfa_1.1.zip
OS X El Capitan binaries: r-release: ssfa_1.1.tgz
OS X Mavericks binaries: r-oldrel: ssfa_1.1.tgz
Old sources: ssfa archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ssfa to link to this page.