summary.front41Output: Summarizing the Estimation of Frontier 4.1

In frontier: Stochastic Frontier Analysis

Description

summary.front41Output summarizes the estimation results of a model estimated by Frontier 4.1..

Usage

## S3 method for class 'front41Output'
summary( object, ... )

## S3 method for class 'summary.front41Output'
print( x, efficiencies = FALSE, ... )

Arguments

object	an object of class front41Output (read/created by front41ReadOutput.
x	object of class summary.front41Output (returned by the summary method for objects of class front41ReadOutput).
efficiencies	logical. Print all efficiency estimates? (If FALSE, only the mean efficiency is printed.)
...	currently ignored.

Value

The summary method returns a list of class summary.front41Output with the same elements as object returned by front41ReadOutput. However, the elements olsResults, gridResults, and mleResults have an additional culumn with marginal significance levels (P values). The P values of the OLS estimates are calculated using the t distribution, while the (asymptotic) P values of the ML estimates are calculated based on the assumption that their t values follow an (asymptotic) standard normal distribution.

Author(s)

Arne Henningsen

See Also

front41ReadOutput, front41WriteInput.

Examples

   # read the output file that is provided with Frontier 4.1
   outFile <- system.file( "front41/EG1.OUT", package = "frontier" )
   sfa <- front41ReadOutput( outFile )
   summary( sfa )

Example output

Loading required package: micEcon

If you have questions, suggestions, or comments regarding one of the 'micEcon' packages, please use a forum or 'tracker' at micEcon's R-Forge site:
https://r-forge.r-project.org/projects/micecon/
Loading required package: lmtest
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric


Please cite the 'frontier' package as:
Tim Coelli and Arne Henningsen (2013). frontier: Stochastic Frontier Analysis. R package version 1.1. http://CRAN.R-Project.org/package=frontier.

If you have questions, suggestions, or comments regarding the 'frontier' package, please use a forum or 'tracker' at frontier's R-Forge site:
https://r-forge.r-project.org/projects/frontier/

Stochastic Frontier Analysis with FRONTIER 4.1
Model type: Error Components Frontier (see B&C 1992) 
Function type: production function 

ML Estimates:
                  coef  std.err t-ratio  Pr(>|z|)    
beta_0        0.561620 0.202617  2.7718 0.0055742 ** 
beta_1        0.281102 0.047643  5.9001 3.632e-09 ***
beta_2        0.536480 0.045252 11.8555 < 2.2e-16 ***
sigma-squared 0.217000 0.063909  3.3955 0.0006851 ***
gamma         0.797207 0.136424  5.8436 5.108e-09 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Mean Efficiency: 0.7405677 

frontier documentation built on April 19, 2020, 3:54 p.m.