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.


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


  • ssfa::ssfavignette has been included.

Reference manual

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1.1 by Elisa Fusco, 5 years ago

Browse source code at

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