front41ReadOutput: Read output of Frontier 4.1
In frontier: Stochastic Frontier Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

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

   front41ReadOutput( file = "front41.out" )

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

`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.

A modified version of Tim Coelli's FRONTIER 4.1 that can be used non-interactively is available on http://frontier.r-forge.r-project.org/front41.html. 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.

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.

Arne Henningsen

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.php, University of New England.

front41WriteInput, front41Est

   # 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", yName = "logOutput",
      xNames = c( "logCapital", "logLabour" ), 
      path = tempdir(), insFile = "coelli.ins" )

   ## Not run: 
   system( paste0( "cd ", tempdir(), "; front41.bin coelli.ins" ) )
   sfa <- front41ReadOutput( file.path( tempdir(), "coelli.out" ) )
   summary( sfa )
   
## End(Not run)