plm (version 2.0-2)

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, ...)

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

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

…

further arguments.

object, x

an object of class "plm",

Value

An object of class "piest".

Details

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

References

CHAM:82plm

See Also

aneweytest()

Examples

# NOT RUN {
data("RiceFarms", package = "plm")
pirice <- piest(log(goutput) ~ log(seed) + log(totlabor) + log(size), RiceFarms, index = "id")
summary(pirice)

# }