 Facts and figures about UK taxes, benefits and public spending.
Analysing government fiscal forecasts and tax and spending.
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.
Find out where you are in the income distribution.
Resources for schools and students.
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Our approach is to combine new ideas in economic theory with cutting-edge microeconometric methods.
By using data to analyse the characteristics and behaviour of people and firms at a disaggregated level, we can develop a richer understanding of the impact of policy and its social and economic environment than is possible simply from looking at aggregate measures. To help achieve this, our research agenda encompasses investigation of microeconometric methods, policy evaluation methodology and modelling of individual, household and firm behaviour, as well as analysis of particular policy issues and key ingredients for effective policy development.
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Using many moment conditions can improve efficiency but makes the usual GMM inferences inaccurate.
Victor Chernozhukov, Fernandez-Val, Ivan and Alfred Galichon
The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, pointwise for each quantile.
We analyze equilibria in hedonic economies and study conditions that lead to identification of structural preference parameters in hedonic economies with both additive and nonadditive marginal utility and marginal product functions.
Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing non stochastic explanatory variables and innovations suspected to be non-normal.
Victor Chernozhukov and Fernandez-Val, Ivan
This paper gives identification and estimation results for marginal effects in nonlinear panel models.
This talk was given on 4 June 2010 at the Journal of Applied Econometrics Workshop at Cambridge University.
Wang, Qihua, Oliver Linton and Hardle, Wolfgang
We develop inference tools in a semiparametric partially linear regression model with missing response data.
This paper proposes a new class of HAC covariance matrix estimators.
Xiaohong Chen, Wu, Wei Biao and Yi, Yanping
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models.
This Mathematica notebook accompanies the paper, 'Sharp identified sets for discrete variable IV models'.
Browse publications & research
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 Started: 01 April 2005
Started: 01 April 2005
Started: 01 July 2004
Started: 01 January 2004
Started: 01 January 2004
  We provided evidence to the Browne Review of higher education funding about the impact of a number of higher education finance reforms.
We run a policy evaluation methods course that has trained practitioners inside and outside government how to conduct an evaluation and interpret the results.
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