Hausman Test for Panel Models

Description

Specification test for panel models.

Usage

phtest(x, ...)
## S3 method for class 'panelmodel'
phtest(x, x2, ...)
## S3 method for class 'formula'
phtest(x, data, model = c("within", "random"),
                method = c("chisq", "aux"),
                index = NULL, vcov = NULL, ...)

Arguments

Details

The Hausman test (sometimes also called Durbin-Wu-Hausman test) is based on the difference of the vectors of coefficients of two different models. The panelmodel method computes the original version of the test based on a quadratic form. The formula method, if method="chisq" (default), computes the original version of the test based on a quadratic form; if method="aux" then the auxiliary-regression-based version in Wooldridge (2010, Sec. 10.7.3.) is computed instead. Only the latter can be robustified specifying a robust covariance estimator as a function through the argument vcov.

Value

An object of class "htest".

Author(s)

Yves Croissant, Giovanni Millo

References

Hausman, J.A. (1978), Specification tests in econometrics, Econometrica, 46, pp. 1251–1271.

Wooldridge, Jeffrey M. (2010), Econometric analysis of cross-section and panel data, 2nd ed., MIT Press, Sec. 10.7.3., pp. 328–334.

Baltagi, Badi H. (2013), Econometric Analysis of Panel Data, 5th ed., John Wiley and Sons., Sec. 4.3.

Examples

data("Gasoline", package = "plm")
form <- lgaspcar ~ lincomep + lrpmg + lcarpcap
wi <- plm(form, data = Gasoline, model = "within")
re <- plm(form, data = Gasoline, model = "random")
phtest(wi, re)
phtest(form, data = Gasoline)
phtest(form, data = Gasoline, method = "aux")

# robust Hausman test (regression-based)
phtest(form, data = Gasoline, method = "aux", vcov = vcovHC)

# robust Hausman test with vcov supplied as a
# function and additional parameters
phtest(form, data = Gasoline, method = "aux",
  vcov = function(x) vcovHC(x, method="white2", type="HC3"))

Results