plm (version 2.6-4)

piest: Chamberlain estimator and test for fixed effects

Description

General estimator useful for testing the within specification

Usage

piest(formula, data, subset, na.action, index = NULL, robust = TRUE, ...)
# S3 method for piest
print(x, ...)
# S3 method for piest
summary(object, ...)
# S3 method for summary.piest
print(
  x,
  digits = max(3, getOption("digits") - 2),
  width = getOption("width"),
  subset = NULL,
  ...
)

Value

An object of class "piest".

Arguments

formula

a symbolic description for the model to be estimated,

data

a data.frame,

subset

see lm(),

na.action

see lm(),

index

the indexes,

robust

logical, if FALSE, the error is assumed to be spherical, if TRUE, a robust estimation of the covariance matrix is computed,

...

further arguments.

object, x

an object of class "piest" and of class "summary.piest" for the print method of summary for piest objects,

digits

number of digits for printed output,

width

the maximum length of the lines in the printed output,

Author

Yves Croissant

Details

The Chamberlain method consists in using the covariates of all the periods as regressors. It allows to test the within specification.

References

CHAM:82plm

See Also

aneweytest()

Examples

data("RiceFarms", package = "plm")
pirice <- piest(log(goutput) ~ log(seed) + log(totlabor) + log(size), RiceFarms, index = "id")
summary(pirice)