Test of individual and/or time effects based on the comparison of the within and the pooling model.
pFtest(x,...)## S3 method for class 'formula'pFtest(x, data,...)## S3 method for class 'plm'pFtest(x, z,...)
Arguments
x: an object of class "plm" or of class "formula",
...: further arguments.
data: a data.frame,
z: an object of class "plm",
Returns
An object of class "htest".
Details
For the plm method, the argument of this function is two plm
objects, the first being a within model, the second a pooling model. The effects tested are either individual, time or twoways, depending on the effects introduced in the within model.
Examples
data("Grunfeld", package="plm")gp <- plm(inv ~ value + capital, data = Grunfeld, model ="pooling")gi <- plm(inv ~ value + capital, data = Grunfeld, effect ="individual", model ="within")gt <- plm(inv ~ value + capital, data = Grunfeld, effect ="time", model ="within")gd <- plm(inv ~ value + capital, data = Grunfeld, effect ="twoways", model ="within")pFtest(gi, gp)pFtest(gt, gp)pFtest(gd, gp)pFtest(inv ~ value + capital, data = Grunfeld, effect ="twoways")
See Also
plmtest() for Lagrange multiplier tests of individuals and/or time effects.