Last chance! 50% off unlimited learning
Sale ends in
A Chow test for the poolability of the data.
pooltest(x, ...)# S3 method for plm
pooltest(x, z, ...)
# S3 method for formula
pooltest(x, data, ...)
An object of class "htest"
.
an object of class "plm"
for the plm method; an object of
class "formula"
for the formula interface,
further arguments passed to plm.
an object of class "pvcm"
obtained with
model="within"
,
a data.frame
,
Yves Croissant
pooltest
is a F test of stability (or Chow test) for the
coefficients of a panel model. For argument x
, the estimated
plm
object should be a "pooling"
model or a "within"
model
(the default); intercepts are assumed to be identical in the first
case and different in the second case.
data("Gasoline", package = "plm")
form <- lgaspcar ~ lincomep + lrpmg + lcarpcap
gasw <- plm(form, data = Gasoline, model = "within")
gasp <- plm(form, data = Gasoline, model = "pooling")
gasnp <- pvcm(form, data = Gasoline, model = "within")
pooltest(gasw, gasnp)
pooltest(gasp, gasnp)
pooltest(form, data = Gasoline, effect = "individual", model = "within")
pooltest(form, data = Gasoline, effect = "individual", model = "pooling")
Run the code above in your browser using DataLab