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Programmes and software written at IFS.
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Slides and software used to introduce the study of inter-temporal life-cycle models of consumption and savings and support the development of code to solve these type of problems numerically.
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This spreadsheet contains calculations underlying the IFS report 'The Effects of Taxes and Charges on Saving Incentives in the UK' . It allows users to see how those results were calculated and to adjust the inputs (tax rates, assumed rates of return and inflation, etc.) to produce new calculations
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LATAX is a multi-country flexible tax micro-simulation model developed by researchers from the Institute for Fiscal Studies (IFS) for the analysis of VAT, excise duties, income tax and social security contributions, as well as (non means-tested) price subsidies.
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These sheets provide sample size calculators to accompany the IFS working paper WP15/17, "Going beyond simple sample size calculations: a practitioner's guide".
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This package includes various commands. clr2bound compute two-sided bound estimates using Bonferroni's inequality. clrbound compute a one-sided bound estimate. clrtest tests the hypothesis that the maximum of lower intersection bounds is nonpositive. clr3bound compute two-sided bound estimates by ...
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See whether you can do better than the Chancellor by deciding how to allocate spending across the government's departments.
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This Stata code implements the wild cluster bootstrap-t to compute t-stats of parameters of a linear regression model.
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This module can be used within STATA to estimate the coffecients of the linear age−period−cohort (apc) model.
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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.
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This package accompanies a presentation given at the 2010 German Stata Users Group meeting in Berlin.
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The FORTAX project is centered around the development of the FORTAX library, a micro-simulation tax library programmed in Fortran.
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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.
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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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DPD98 for Gauss is a programme written in Gauss by Arellano and Bond to estimate dynamic panel data models using GMM.
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