piest function

Chamberlain estimator and test for fixed effects

General estimator useful for testing the within specification

piest(formula, data, subset, na.action, index = NULL, robust = TRUE, ...)

## S3 method for class 'piest'
print(x, ...)

## S3 method for class 'piest'
summary(object, ...)

## S3 method for class 'summary.piest'
print(
  x,
  digits = max(3, getOption("digits") - 2),
  width = getOption("width"),
  subset = NULL,
  ...
)

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,

Returns

An object of class "piest".

Details

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

Examples

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

References

\insertRef CHAM:82plm

See Also

aneweytest()

Author(s)

Yves Croissant