vcovPC.prais: Extract Panel-Corrected Variance Covariance Matrix

In prais: Prais-Winsten Estimator for AR(1) Serial Correlation

Description

Panel-corrected covariance matrix estimators for models of class "prais".

Usage

## S3 method for class 'prais'
vcovPC(x, pairwise = FALSE, ...)

Arguments

x	an object of class "prais", usually, the result of a call to prais_winsten.
pairwise	logical. If FALSE (default), only those residuals from periods that are common to all panels are used to computed the covariances. If TRUE all observations that can be matched by period between two panels are used.
...	not used.

Details

vcovPC is a function for estimating a panel-corrected covariance matrix of parameters for the Prais-Winsten estimator.

Value

An object of class "matrix".

References

Beck, N. L. and Katz, J. N. (1995): What to do (and not to do) with time-series cross-section data. American Political Science Review 89, 634-647.

See Also

vcovPC

prais documentation built on Nov. 1, 2021, 5:07 p.m.