sfadv: Advanced Methods for Stochastic Frontier Analysis

Stochastic frontier analysis with advanced methods. In particular, it applies the approach proposed by Latruffe et al. (2017) <doi:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical inefficiency effects when one input is endogenous.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: gmm, minpack.lm
Published: 2017-06-19
DOI: 10.32614/CRAN.package.sfadv
Author: Yann Desjeux [aut, cre], Laure Latruffe [aut], Alain Carpentier [ctb]
Maintainer: Yann Desjeux <yann.desjeux at inra.fr>
License: GPL-3
NeedsCompilation: no
Citation: sfadv citation info
Materials: NEWS
CRAN checks: sfadv results


Reference manual: sfadv.pdf


Package source: sfadv_1.0.1.tar.gz
Windows binaries: r-devel: sfadv_1.0.1.zip, r-release: sfadv_1.0.1.zip, r-oldrel: sfadv_1.0.1.zip
macOS binaries: r-release (arm64): sfadv_1.0.1.tgz, r-oldrel (arm64): sfadv_1.0.1.tgz, r-release (x86_64): sfadv_1.0.1.tgz, r-oldrel (x86_64): sfadv_1.0.1.tgz


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