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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ssfa")

1.2.3 by Elisa Fusco, a year ago


Browse source code at https://github.com/cran/ssfa


Authors: Elisa Fusco [aut, cre] , Francesco Vidoli [aut]


Documentation:   PDF Manual  


GPL-3 license


Depends on Matrix, maxLik, spdep, sp, spatialreg

Suggests R.rsp


See at CRAN