nobs.npsf: 'nobs' method for class 'npsf'

In npsf: Nonparametric and Stochastic Efficiency and Productivity Analysis

Description

Extracts the number of observations for which efficiencies are estimated by SF or DEA model estimated by sf, teradial, tenonradial, or teradialbc.

Usage

 ## S3 method for class 'npsf'
nobs( object, ... )

Arguments

object	an object of class npsf returned by the function sf).
...	currently unused.

Value

nobs.npsf returns the number of observations for which efficiencies are estimated by SF or DEA model.

Author(s)

Oleg Badunenko <[e-mail]>

See Also

vcov.npsf, coef.npsf, summary.npsf, and sf.

Examples

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")
nobs( m1 )

# DEA

t1 <- teradialbc ( Y ~ K + L, data = pwt56, subset = Nu < 10)
nobs(t1)

npsf documentation built on Nov. 23, 2020, 1:07 a.m.