Resources

A guide to assessing the effectives and potential impacts of alternative tax policy options.

An introduction to tax policy costing: a manual and worked examples.

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.

How would you fund the NHS? Use this tool to try and reach these projected funding “targets” through increasing taxes and / or by cutting government spending in other areas.

Distributional analysis appendix slides

TAXBEN is the IFS’s tax and benefit microsimulation model, which calculates the impact of tax and benefit policy on households. It is used heavily in IFS’s work on the impacts of tax and benefit policy. This document gives a high level summary of TAXBEN, covering what policies and effects it does and does not include, and its limitations.

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

Long terms trends of multimorbidity and association with physical activity in older English population.

LATAX is a multi-country flexible tax micro-simulation model developed by researchers from the Institute for Fiscal Studies (IFS) for the analysis of

These sheets provide sample size calculators to accompany the IFS working paper WP15/17, "Going beyond simple sample size calculations: a practitioner's guide".

This User Guide provides information about the End of Life interviews carried out during the first six waves of ELSA.

ELSA life history documentation

Online Appendix to accompany IFS Working Paper W14/31: socio-economic differences in university outcomes in the UK: drop-out, degree completion and degree class by Claire Crawford

The control function approach (Heckman and Robb (1985)) in a system of linear simultaneous equations provides a convenient procedure to estimate one of the functions in the system using reduced form residuals from the other functions as additional regressors. The conditions on the structural system under which this procedure can be used in nonlinear and nonparametric simultaneous equations has thus far been unknown. In this paper, we define a new property of functions called control function separability and show it provides a complete characterization of the structural systems of simultaneous equations in which the control function procedure is valid.

Appendix to IFS working paper 14/03

This paper lists the top 10 Stata 'gotchas' and suggest ways to combat them, with the aim of helping new users avoid the most common pitfalls.

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 inverting clrtest.

This User Guide provides detailed information pertaining to each of the first eight waves of the ELSA data, all of which are available to download from the UK Data Archive

See whether you can do better than the Chancellor by deciding how to allocate spending across the government's departments.

This paper provides a new analysis of the main stylised facts underlying the evolution of labour supply at the extensive and intensive margins in three countries: the United States, the United Kingdom and France. We propose a definition of the extensive and intensive margins corresponding respectively to the employment rate and to hours when employed. This definition is robust to the choice of the reference period and we develop a new statistical decomposition that provides bounds on changes at these margins. We focus on longer-run labour supply changes over the period 1977 to 2007 and abstract from the shorter-run impact of recessions. Examining secular changes over this period, we show that both margins matter in explaining changes in total hours. We then provide a detailed analysis across countries and across time by demographic type. Given the large systematic differences we uncover in the importance of these margins by age and gender, it is unlikely that a single explanation will suffice to account for the macroeconomic evolutions in the three countries.

We develop a new approach to the decomposition of income risk within a nonstationary model of intertemporal choice. The approach allows for changes in income risk over the life cycle and across the business cycle, allowing for mixtures of persistent and transitory components in the dynamic process for income. We focus on what can be learned from repeated cross-section data alone. Evidence from a stochastic simulation of consumption choices in a nonstationarity environment is used to show the robustness of the method for decomposing income risk. The approach is used to investigate the changes in income risk in Britain across the inequality growth period from the late 1970s to the late 1990s. We document peaks in the variance of permanent shocks at the time of recessions.

This is a module for reweighting survey data to user-defined control totals.

This do file converts easting/northings for longitude/latitude.

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 document describes how to use the derived income and asset variables for ELSA Waves 1 to 8.

This appendix accompanies IFS Briefing Note 122.

This document describes how to use the derived pension wealth variables for ELSA Wave 2-5.

The excel spreadsheet pengrid_var_correspondence.xls' (which is also available as part of the ELSA Wave 2 documentation) shows how the variables in the pension-level dataset relate to those contained in the main individual-level dataset.

This user guide describes how pensions in the ELSA data have been categorised and which variables are included in this separate pensions grid, including some additional derived variables not previously available.

This document accompanies the first version of data from Wave 1 of the English Longitudinal Study of Ageing (ELSA).

Three derived variables are included in the wave 3 pension grid to summarise the status of each pension.

The nurse interview comprised a personal face-to-face CAPI interview and the collection of a number of different measures.

The nurse interview comprised a personal face-to-face CAPI interview, the taking of a number of different measures and an additional voluntary self-completion questionnaire.

The online appendix for IFS working paper W10/15, 'The role of attitudes and behaviours in explaining socio-economic differences in attainment at age 16'.

Online appendix for IFS working paper W10/16, 'Explaining the socio-economic gradient in child outcomes: the intergenerational transmission of cognitive skills'.

This package accompanies a presentation given at the 2010 German Stata Users Group meeting in Berlin.

This Mathematica notebook accompanies the paper, 'Sharp identified sets for discrete variable IV models'.

A report of research carried out by Institute for Fiscal Studies on behalf of the Department for Work and Pensions. This Appendix provides a detailed and formal derivation of the estimation methods considered in the main report, as well as of the conditions for their validity.

The FORTAX project is centered around the development of the FORTAX library, a micro-simulation tax library programmed in Fortran.

This User Guide provides detailed information pertaining to the Life History Interview component of ELSA Wave 3.

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.

Stata module to perform full Mahalanobis matching and a variety of propensity score matching to adjust for pre-treatment observable differences between two groups.

DPD98 for Gauss is a programme written in Gauss by Arellano and Bond to estimate dynamic panel data models using GMM.