ssfa: 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.

Install the latest version of this package by entering the following in R:
install.packages("ssfa")
AuthorElisa Fusco, Francesco Vidoli
Date of publication2015-06-10 01:02:51
MaintainerElisa Fusco <fusco_elisa@libero.it>
LicenseGPL-3
Version1.1

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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