spscsfa: Semiparametric Smooth-Coefficient Stochastic Frontier Analysis
Provides semiparametric smooth-coefficient stochastic frontier
analysis following Sun and Kumbhakar (2013)
<doi:10.1016/j.econlet.2013.05.001> where the coefficients
of the parametric part vary smoothly with a set of nonparametric variables.
Inefficiency term is allowed to depend on a set of determinants through
heteroskedasticity. Smooth coefficients are estimated using nonparametric
regression and the remaining frontier parameters are estimated by maximum
likelihood. Technical efficiency and inefficiency are computed using the
Battese and Coelli (1988)
<doi:10.1016/0304-4076(88)90053-X> and Jondrow et al. (1982)
<doi:10.1016/0304-4076(82)90004-5> methods,
respectively. Confidence intervals for technical efficiency are computed
using the approach of Horrace and Schmidt (1996)
<doi:10.1007/BF00157044>.
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