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sfadv (version 1.0.1)

Advanced Methods for Stochastic Frontier Analysis

Description

Stochastic frontier analysis with advanced methods. In particular, it applies the approach proposed by Latruffe et al. (2017) to estimate a stochastic frontier with technical inefficiency effects when one input is endogenous.

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Version

Install

install.packages('sfadv')

Monthly Downloads

146

Version

1.0.1

License

GPL-3

Maintainer

Yann Desjeux

Last Published

June 19th, 2017

Functions in sfadv (1.0.1)

summary

Summary method for object of class “sfaendog”
Farms

Data set of farm accountancy data
sfaendog

Stochastic frontier analysis with technical inefficiency effects and endogeneity of one input