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  "Description": "Spatial Stochastic Frontier Analysis (SSFA) is an original\nmethod for controlling the spatial heterogeneity in Stochastic\nFrontier Analysis (SFA) models, for cross-sectional data, by\nsplitting the inefficiency term into three terms: the first one\nrelated to spatial peculiarities of the territory in which each\nsingle unit operates, the second one related to the specific\nproduction features and the third one representing the error\nterm.",
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      "page": "ssfa-package",
      "title": "Spatial Stochastic Frontier models",
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      "title": "Italian provinces spatial weights matrix example",
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