frontier (version 0.9-6)

front41ReadOutput: Read output of Frontier 4.1

Description

Read the output file of Tim Coelli's program Frontier 4.1 that performs stochastic frontier analysis.

Usage

front41ReadOutput( file = "front41.out" )
   ## S3 method for class 'front41Output':
print( x, efficiencies = FALSE, ... )

Arguments

file

character variable with the name of the file to read.

x

object of class front41Output (returned by front41ReadOutput.

efficiencies

logical. Print all efficiency estimates? (If FALSE, only the mean efficiency is printed.)

...

currently ignored.

Value

• a list of class front41Output containing following objects:
• version
  the version of Frontier 4.1 that produced the output.
• insFile
  name of the instruction file used by Frontier 4.1.
• dtaFile
  name of the data file used by Frontier 4.1.
• modelType
  model type: either 1 for 'Error Components Frontier' or 2 for 'Tech. Eff. Effects Frontier'.
• modelTypeName
  model type: 'Error Components Frontier' or 'Tech. Eff. Effects Frontier'.
• functionType
  function type: either 1 for 'production function' or 2 for 'cost function'.
• functionTypeName
  function type: 'production function' or 'cost function'.
• logDepVar
  logical. Is the dependent variable logged.
• olsResults
  results of the OLS estimation.
• nXvars
  number X variables (exogenous variables of the production or cost function.
• olsLogl
  log likelihood value of the OLS estimation.
• gridResults
  results of the grid search.
• mleResults
  results of the maximum likelihood estimation.
• mleLogl
  log likelihood value of the maximum likelihood estimation.
• mleCov
  coefficient covariance matrix of the maximum likelihood estimation.
• lrTest
  LR test of the one-sided error.
• lrTestRestrict
  number of restrictions of the LR test.
• nIter
  number of iterations.
• maxIter
  maximum number of iterations set.
• nCross
  number of cross-sections.
• nPeriods
  umber of time periods.
• nObs
  total number of observations.
• nObsMissing
  number of observations that are not in the panel.
• efficiency
  technical efficiency estimates.
• meanEfficiency
  mean efficiency.

Details

A modified version of Tim Coelli's FRONTIER 4.1 that can be used non-interactively is available on http://www.uni-kiel.de/agrarpol/ahenningsen/frontier/. It can be called from within R using the system command (see example). This version is is available as (FORTRAN) source code and (executable) binaries for GNU/Linux and MS-Windows.

References

Battese, G.E. and T. Coelli (1992), Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. Journal of Productivity Analysis, 3, 153-169.

Battese, G.E. and T. Coelli (1995), A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20, 325-332.

Coelli, T. (1996) A Guide to FRONTIER Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation, CEPA Working Paper 96/08, http://www.uq.edu.au/economics/cepa/frontier.htm, University of New England.

See Also

front41WriteInput, front41Est

Examples

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

   # perform an SFA and read the output
   data( front41Data )
   front41Data$logOutput  <- log( front41Data$output )
   front41Data$logCapital <- log( front41Data$capital )
   front41Data$logLabour  <- log( front41Data$labour )

   front41WriteInput( front41Data, "firm", "time", "logOutput",
      c( "logCapital", "logLabour" ), insFile = "coelli.ins" )

   system( "front41.bin coelli.ins" )
   sfa <- front41ReadOutput( "coelli.out" )
   print( sfa )