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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