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 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=sfadv
to link to this page.