resettestFrontier: RESET test for Stochastic Frontier Models

In frontier: Stochastic Frontier Analysis

Description

Generalized Ramsey's RESET test (REgression Specification Error Test) for misspecification of the functional form based on a Likelihood Ratio test.

Usage

   resettestFrontier( object, power = 2:3 )

Arguments

object	a fitted model object of class frontier.
power	a vector indicating the powers of the fitted variables that should be included as additional explanatory variables. By default, the test is for quadratic or cubic influence of the fitted response.

Value

An object of class anova as returned by lrtest.frontier.

Author(s)

Arne Henningsen

References

Ramsey, J.B. (1969), Tests for Specification Error in Classical Linear Least Squares Regression Analysis. Journal of the Royal Statistical Society, Series B 31, 350-371.

See Also

sfa, resettest, and lrtest.frontier

Examples

   # load data set
   data( front41Data )

   # estimate a Cobb-Douglas production frontier
   cobbDouglas <- sfa( log( output ) ~ log( capital ) + log( labour ),
      data = front41Data )
   
   # conduct the RESET test
   resettestFrontier( cobbDouglas )

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/
Likelihood ratio test

Model 1: cobbDouglas
Model 2: cobbDouglas + fit^2 + fit^3
  #Df  LogLik Df  Chisq Pr(>Chisq)
1   5 -17.027                     
2   7 -16.934  2 0.1856     0.9114

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