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ssfa (version 1.2.3)

Spatial Stochastic Frontier Analysis

Description

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.

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Version

Install

install.packages('ssfa')

Monthly Downloads

263

Version

1.2.3

License

GPL-3

Maintainer

Elisa Fusco

Last Published

July 28th, 2025

Functions in ssfa (1.2.3)

plot_fitted

SSFA plot
plot_moran

SSFA residuals Moran plot
eff.ssfa

SSFA efficiency
L_hNV

SFA half-normal log likelihood function
residuals.ssfa

SSFA residuals
SSFA_example_data

Example dataset
fitted.ssfa

SSFA fitted values
L_hNV_rho

SSFA half-normal log likelihood function
ssfa

Spatial stochastic frontier estimation
summary

SSFA summaries
u.ssfa

SSFA inefficiency
ssfa-package

Spatial Stochastic Frontier models
Italian_W

Italian provinces spatial weights matrix example