 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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 Measurement Error: Models, Identification and Inference
This class will review approaches aimed at eliminating biases due to the presence of measurement error in covariates. Special emphasis will be given to consistent methods that circumvent distributional assumptions and the need for validation data. Both classical and nonclassical measurement error models will be considered. We will discuss a recent approach to latent variable problems, including measurement error. The class will conclude with examples of the use of measurement error techniques in related fields, such as panel data, auctions and factor models.
If you would like to book a place or have any queries about this event, please contact our events team.
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 The following links should give you any extra information you may need with regard to IFS events. 
Susanne Schennach , Brown University
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