semsfa
Semiparametric Estimation of Stochastic Frontier Models
Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.
- Version1.1
- R version≥ 3.1.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release04/20/2018
Documentation
Team
Giancarlo Ferrara
Giancarlo Ferrara and Francesco Vidoli
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- Depends4 packages
- Imports4 packages