plm: piest – R documentation

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plm

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 class 'piest'
print(x, ...)

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

## S3 method for class '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"`,

Details

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

Value

An object of class "piest".

Author(s)

Yves Croissant

References

Chamberlain G (1982). “Multivariate regression models for panel data.” Journal of Econometrics, 18, 5–46.

Examples

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

plm

Linear Models for Panel Data

v2.4-1

GPL (>= 2)

Authors

Yves Croissant [aut, cre], Giovanni Millo [aut], Kevin Tappe [aut], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]

Initial release

2021-03-02