pcse-package {pcse}R Documentation

pcse: A Package for Panel-Corrected Standard Error Estimation in R

Description

This package contains a function to estimate panel-corrected standard errors. Data may contain balanced or unbalanced panels.

Usage

pcse(object, groupN, groupT, pairwise=FALSE)

Arguments

object A lm object containing the initial run of OLS.
groupN A vector containing the cross-sectional group identifier for each observation.
groupT A vector containing the time identifier for each observation.
pairwise An optional logical flag indicating whether the X's used to estimate the "middle" matrix should be chosen in a pairwise fashion or casewise fashion. If pairwise, the correlation between observations $i$ and $j$ is based on the time periods common to $i$ and $j$. If casewise, the correlation between observations i and j is based on the largest rectangular subset of the data, i.e., $T_i$ = $T_j$ = $T^*$ for all $i$ and $j$ if casewise is selected.

Details

Package: pcse
Type: Package
Version: 1.3
Date: 2007-07-27
License:

Author(s)

Delia Bailey <dbailey@wustl.edu> and Jonathan N. Katz <jkatz@caltech.edu> Maintainer: Delia Bailey <dbailey@wustl.edu>

References

Alvarez, R. Michael, Geoffrey Garrett and Peter Lange. (1991) Government Partisanship, Labor Organization, and Macroeconomic Performance. American Political Science Review 85:539-56.

Beck, Nathaniel, Jonathan N. Katz, R. Michael Alvarez, Geoffrey Garrett and Peter Lange. (1993) Government Partisanship, Labor Organization, and Macroeconomic Performance: A Corrigendum. American Political Science Review 87:945-948.

Beck, Nathaniel and Jonathan N. Katz. (1995) What to do (and not to do) with Time-Series Cross-Section Data. American Political Science Review 89:634-647.

Examples

## see demo file.

[Package pcse version 1.6 Index]