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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 libero.it> |
| 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: ssfa_1.2.2.zip, r-release: ssfa_1.2.2.zip, r-oldrel: ssfa_1.2.2.zip |
| 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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These binaries (installable software) and packages are in development.
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