Facts and figures about UK taxes, benefits and public spending.
Income distribution, poverty and inequality.
Slides, video clips and interactive tools.
Analysing government fiscal forecasts and tax and spending.
Analysis of the fiscal choices an independent Scotland would face.
Case studies that give a flavour of the areas where IFS research has an impact on society.
Reforming the tax system for the 21st century.
A peer-reviewed quarterly journal publishing articles by academics and practitioners.
Authors: Bansi Malde
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.