 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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Andrew Chesher is the Director of the Centre for Microdata Methods and Practice. He joined University College London as Professor of Economics in 1999. Before that he was Professor of Econometrics at the University of Bristol where he is currently Visiting Professor. He is a Research Fellow of IFS, Fellow of the British Academy, Fellow of the Econometric Society and Co-Editor of the Econometric Society Monograph Series. His research covers a variety of areas of theoretical econometrics and statistics, including currently: identification in nonseparable models, measurement error models, inequality and poverty measurement, second order asymptotic approximations, empirical likelihood and related procedures, exact sampling distributions in discrete and censored data problems and measurement of distributional impacts of policy interventions. Applied econometric work currently includes: modelling nutritional choice, modelling household formation, modelling child nutrition and post-natal return to work and modelling the impact of unionisation on wages. Policy related work currently includes development of models for landslide incidence and associated optimal highway landslide prevention strategies, measurement of the efficiency of fixed line and mobile telephone service providers, measurement of the value and cost of universal service obligations, and estimation of demands for foods in Great Britain. 
All available publications
Andrew Chesher and Adam Rosen, March 2013,
What do instrumental variable models deliver with discrete dependent variables?,
cemmap Working Papers
, CWP10/13
Andrew Chesher and Adam Rosen, October 2012,
An instrumental variable random coefficients model for binary outcomes,
cemmap Working Papers
, CWP34/12
Andrew Chesher and Adam Rosen, August 2012,
Simultaneous equations for discrete outcomes:coherence, completeness, and identification.,
cemmap Working Papers
, CWP21/12
Andrew Chesher and Konrad Smolinski, January 2012,
IV models of ordered choice,
Journal of Econometrics,
Vol. 166, No. 1, pp. 33-48,
Elsevier,
Journal Articles
Previous versions:
Andrew Chesher and Konrad Smolinski, December 2009,
IV models of ordered choice,
cemmap Working Papers
, CWP37/09
Andrew Chesher, Adam Rosen and Konrad Smolinski, December 2011,
An instrumental variable model of multiple discrete choice,
cemmap Working Papers
, CWP39/11
Andrew Chesher and Lars Nesheim, October 2011,
Review of the literature on statistical properties of linked datasets,
Presentations
Andrew Chesher, October 2011,
Semiparametric structural models of binary response: shape restrictions and partial identification,
cemmap Working Papers
, CWP31/11
Andrew Chesher, Adam Rosen and Konrad Smolinski, February 2011,
An instrumental variable model of multiple discrete choice,
cemmap Working Papers
, CWP06/11
Andrew Chesher and Konrad Smolinski, May 2010,
Sharp identified sets for discrete variable IV models,
cemmap Working Papers
, CWP11/10
Andrew Chesher, March 2010,
Instrumental variable models for discrete outcomes,
Econometrica,
Vol. 78, No. 2, pp. 575-601,
Journal Articles
Previous versions:
Andrew Chesher, November 2008,
Instrumental variable models for discrete outcomes,
cemmap Working Papers
, CWP30/08
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