ssfa-package: Spatial Stochastic Frontier models
In ssfa: Spatial Stochastic Frontier Analysis
ssfa-package R Documentation
Spatial Stochastic Frontier models
Description
The package implements the Spatial Stochastic Frontier model for cross-sectional data introduced by Fusco and Vidoli (2013).
The method controls spatial heterogeneity in SFA models by splitting the inefficiency term into three parts: 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.
Author(s)
Elisa Fusco, Francesco Vidoli
Maintainer: Elisa Fusco <fusco_elisa@libero.it>
References
Fusco, E. and Vidoli, F. (2013). Spatial stochastic frontier models: controlling spatial global and local heterogeneity, International Review of Applied Economics, 27(5) 679-694.
Fusco, E. (2020). Spatial Dependence in Efficiency Parametric Models: A Generalization and Simulation Studies, "Scienze Regionali, Italian Journal of Regional Science" Speciale/2021, 595-618.
ssfa documentation built on Aug. 28, 2023, 5:09 p.m.
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| ssfa-package | R Documentation |
Spatial Stochastic Frontier models
Description
The package implements the Spatial Stochastic Frontier model for cross-sectional data introduced by Fusco and Vidoli (2013). The method controls spatial heterogeneity in SFA models by splitting the inefficiency term into three parts: 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.
Author(s)
Elisa Fusco, Francesco Vidoli
Maintainer: Elisa Fusco <fusco_elisa@libero.it>
References
Fusco, E. and Vidoli, F. (2013). Spatial stochastic frontier models: controlling spatial global and local heterogeneity, International Review of Applied Economics, 27(5) 679-694.
Fusco, E. (2020). Spatial Dependence in Efficiency Parametric Models: A Generalization and Simulation Studies, "Scienze Regionali, Italian Journal of Regional Science" Speciale/2021, 595-618.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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