fitted.sfaFLW: Returning Fitted Values

In npFrontier: Non-Parametric and Semi-Parametric Stochastic Frontier Analysis

Description

This method returns the fitted values of semiparametric stochastic frontier models estimated with function sfaFLW.

Usage

## S3 method for class 'sfaFLW'
fitted( object, which = "frontier", ... )

Arguments

object	a semiparametric stochastic frontier model estimated with function sfaFLW.
which	If "first", the fitted values of the nonparametric regression (first step) are returned; if "frontier" (the default), the (bias-corrected) fitted values of the frontier function are returned.
...	currently ignored.

Value

A numeric vector containing the fitted values.

Author(s)

Arne Henningsen

See Also

sfaFLW, fitted, residuals.sfaFLW, gradients.sfaFLW.

Examples

  # example included in FRONTIER 4.1 (cross-section data)
  data( front41Data, package = "frontier" )

  # semiparametric local-constant Cobb-Douglas production frontier
  FLW_Result <- sfaFLW( log( output ) ~ log( capital ) + log( labour ),
    data = front41Data )
    
  # fitted values of the nonparametric regression (first step)
  fitted( FLW_Result, which = "first" )

  # bias-corrected fitted values of the frontier function
  fitted( FLW_Result )

npFrontier documentation built on May 2, 2019, 4:48 p.m.