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.


News

ssfa v1.1 (Release date: 2015-06-09)

Changes:

  • ssfa::ssfavignette has been included.

Reference manual

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install.packages("ssfa")

1.1 by Elisa Fusco, 5 years ago


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


Authors: Elisa Fusco , Francesco Vidoli


Documentation:   PDF Manual  


Task views: Econometrics


GPL-3 license


Depends on Matrix, maxLik, spdep, sp

Suggests R.rsp


See at CRAN