coef.npsf {npsf} | R Documentation |
Extracts the ML parameters of a stochastic frontier model estimated by sf
.
## S3 method for class 'npsf'
coef( object, ... )
object |
an object of class |
... |
currently unused. |
coef.npsf
returns a named vector of the ML parameters of a stochastic frontier model.
Oleg Badunenko <oleg.badunenko@brunel.ac.uk>
vcov.npsf
, nobs.npsf
, summary.npsf
, and sf
.
require( npsf )
# Load Penn World Tables 5.6 dataset
data( pwt56 )
head( pwt56 )
# Create some missing values
pwt56 [4, "K"] <- NA
# Stochastic production frontier model with
# homoskedastic error components (half-normal)
# Use subset of observations - for year 1965
m1 <- sf(log(Y) ~ log(L) + log(K), data = pwt56,
subset = year == 1965, distribution = "h")
coef( m1 )