 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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 Microeconometric Methods in Policy Evaluation
This course will focus on the use of control function methods for policy analysis. The term "control function" will be used broadly, so that traditional endogeneity problems are covered along with the Chamberlain-Mundlak approach to correlated random effects panel data models. Panel data models with both endogeneity and unobserved heterogeneity will be covered.
The special problems with discrete endogenous explanatory variables, and the limitations for the control function approach for nonlinear models with such variables, will be covered.
Other topics include difference-in-differences estimation - both parametric and some nonparametric approaches - and the issues that arise with clustered data. We will also study methods of dealing with missing data, including imputation and probability weighting. Time permitting, approaches for handling unbalanced panels will be covered.
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. 
Jeffrey Wooldridge , Michigan State University
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