Facts and figures about UK taxes, benefits and public spending.
Income distribution, poverty and inequality.
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.
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Programmes and software written at IFS.
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See whether you can do better than the Chancellor by deciding how to allocate spending across the government's departments.
This Stata code implements the wild cluster bootstrap-t to compute t-stats of parameters of a linear regression model.
This module can be used within STATA to estimate the coffecients of the linear age−period−cohort (apc) model.
SparseGrid is an R translation of the Matlab code on http://www.sparse-grids.de (Heiss & Winschel, 2008). Sparse grids can be used to numerically approximate integrals of high dimension, with fewer nodes than grids constructed by a product rule.
This package accompanies a presentation given at the 2010 German Stata Users Group meeting in Berlin.
The FORTAX project is centered around the development of the FORTAX library, a micro-simulation tax library programmed in Fortran.
Edwin Leuven and Barbara Sianesi
Stata module to perform 'fully interacted linear matching', that is a fully interacted linear regression model in which the treatment dummy is interacted with each one of the other regressors.
Edwin Leuven and Barbara Sianesi
Stata module to perform full Mahalanobis matching and a variety of propensity score matching to adjust for pre-treatment observable differences between two groups.
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