clusterSEs: Calculate Cluster-Robust p-Values and Confidence Intervals

Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <doi:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <doi:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.

Version: 2.6.2
Depends: R (≥ 3.3.0), AER, Formula, plm, stats
Imports: sandwich, lmtest, mlogit, utils
Published: 2019-09-15
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin at justinesarey.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: clusterSEs citation info
In views: Econometrics
CRAN checks: clusterSEs results

Downloads:

Reference manual: clusterSEs.pdf
Package source: clusterSEs_2.6.2.tar.gz
Windows binaries: r-prerelease: clusterSEs_2.6.2.zip, r-release: clusterSEs_2.6.2.zip, r-oldrel: clusterSEs_2.6.2.zip
macOS binaries: r-prerelease: clusterSEs_2.6.2.tgz, r-release: clusterSEs_2.6.2.tgz, r-oldrel: clusterSEs_2.6.2.tgz
Old sources: clusterSEs archive

Reverse dependencies:

Reverse suggests: plm

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