summary.semsfa: Summary for `semsfa` object

Description

Create and print summary results of a stochastic frontier model object returned by semsfa() with regard to the "CONDITIONAL EXPECTATION ESTIMATE" of the first step and to the "VARIANCE COMPONENTS ESTIMATE" of the compound error.

Usage

# S3 method for semsfa
summary(object, ...)

Arguments

object

an semsfa object returned by semsfa()

…

further arguments to the summary method are currently ignored

Value

summary.semsfa returns a list of class summary.semsfa that is identical to an object returned by semsfa() with few modifications if bootstrap is carried out:

b.t

\(t\)-statistic given the bootstrapped standard errors for \(\lambda\) and \(\sigma\) (b.se)

b.pv

\(p\)-values of the \(t\)-statistic

Details

Please note that if bootstrap is carried out the \(t\)-statistic is not reliable for testing the statistical significance of \(\sigma\) and \(\lambda\), because these parameters are censored and cannot follow a \(t\)-distribution. We suggest to compare the BIC of the semiparametric estimated model with the base model.

Examples

Run this code

# NOT RUN {
#generate data
set.seed(0)
n<-200

x<- runif(n, 1, 2)
fy<- 2+30*x-5*x^2
v<- rnorm(n, 0, 1)
u<- abs(rnorm(n,0,2.5))
#production frontier
y <- fy + v - u

dati<-data.frame(y,x)

#first-step: gam, second-step: fan (default)
#without bootstrap
o<-semsfa(y~s(x),dati,sem.method="gam")
summary(o)

# ... with bootstrap
o<-semsfa(y~s(x),dati,sem.method="gam",n.boot=100)
summary(o)
# }