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.
Estimation and inference in semi-nonparametric models
In this short course, we first provide some empirical examples that motivate the usefulness of semi-nonparametric techniques in modelling economic and financial data. We describe popular classes of semi-nonparametric models. We then present penalized sieve extremum (PSE) estimation as a general method for semi-nonparametric models with cross-sectional, panel, time series, or spatial data. The method is especially powerful in estimating difficult ill-posed inverse problems such as semi-nonparametric mixtures or conditional moment restrictions.
We discuss recent advances on inference and large sample properties of the PSE estimators, which include:
Examples from industrial organization, labor economics, dynamic asset pricing, and nonlinear semi-parametric multivariate financial models are used to illustrate the general results.Review papers
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