1. Introduction; 2. Methods of density estimation; 3. Conditional moment estimation; 4. Nonparametric estimation of derivatives; 5. Semiparametric estimation of single equation models; 6. Semi and nonparametric estimation of simultaneous equation models; 7. Semiparametric estimation of discrete choice models; 8. Semiparametric estimation of selectivity models; 9. Semiparametric estimation of censored regression models; 10. Retrospect and prospect.
This book systematically and thoroughly covers a vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the last five decades.
'The authors of this well-produced volume merit high praise for their endeavours. This will be the most comprehensive summary of nonparametric statistics that we are likely to see for a long time. I can recommend it as a guide to recent work in an important area of mathematical statistics.' Short Book Reviews
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