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: 1.2.2
Depends: Matrix, maxLik, spdep (≥ 1.1-1), sp, spatialreg (≥ 1.1-1)
Suggests: R.rsp
Published: 2023-08-28
DOI: 10.32614/CRAN.package.ssfa
Author: Elisa Fusco, Francesco Vidoli
Maintainer: Elisa Fusco <fusco_elisa at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: Econometrics
CRAN checks: ssfa results


Reference manual: ssfa.pdf
Vignettes: Spatial Stochastic frontier models: Instructions for use


Package source: ssfa_1.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ssfa_1.2.2.tgz, r-oldrel (arm64): ssfa_1.2.2.tgz, r-release (x86_64): ssfa_1.2.2.tgz, r-oldrel (x86_64): ssfa_1.2.2.tgz
Old sources: ssfa archive


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