This command implements the wild-cluster bootstrap-t procedure, with a specified null hypothesis, as described in Cameron et al (2007). This procedure is shown to improve inference in cases with few clusters.
It is a post-estimation command, which works for linear models with clustered standard errors and with simple hypotheses only. The command should work with versions of stata above 10.1. Note that varlist should include ALL the right hand side variables included in the linear model for which one estimates these t-statistics.
The zip folder contains an ado file and a help file.
Research Associate University of Kent
Bansi is a Research Associate of the IFS, a Senior Lecturer of Economics at the University of Kent and also a Fellow at the Global Labor Organisation.
Malde, B and Scott, M. (2012). bootwildct. London: IFS.
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