This monograph contains solutions to the exercises appearing in Li and Racine ( ). Solutions to the empirical exercises are provided in the. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types–continuous, nominal, and ordinal–within one coherent. Nonparametric Econometrics: Theory and Practice. Qi Li and Jeffrey Scott Racine . Article in Journal of the American Statistical Association (June)

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Li and Racine have done a fantastic job of bringing together all the latest developments in non-parametric estimation and treating them in a unified, accessible way.

Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types–continuous, nominal, and ordinal–within one coherent framework.

Therefore, it can satisfy the needs of both audiences with a solid background in theoretical econometrics and more applied audiences. Back cover copy “Nonparametric Econometrics by Li and Racine is a must for any serious econometrician or statistician who is working on cutting-edge problems.

Rule-of-Thumb and Plug-In Methods 14 1.

The Best Books of Rule-of-Thumb and Plug-In Methods 26 1. Weakly Dependent Data Semiparametric Methods Chapter 7: General contact details of provider: Goodreads is the world’s largest site for readers with over 50 million reviews.


K-Nearest Neighbor Methods More about this item Keywords nonparametric ; semiparametric ; statistics ; econometrics ; estimators ; analysis ; Statistics Access and download statistics.

Nonparametric Econometrics : Theory and Practice

Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format.

We use cookies to give you the best possible experience. I particularly like Li and Racine’s general treatment of continuous and discrete regressors and of specification testing, topics that I have not seen handled in such a comprehensive fashion.

This book by Li and Racine serves both applied researchers and graduate students.

Nonparametric Econometrics : Qi Li :

Giles, University of Victoria show more. Description Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Download full text from publisher To our knowledge, dconometrics item is not available for download. It also allows you to accept nojparametric citations to this item that we are uncertain about.

Frequency Estimation with Mixed Data 3. Selectivity Models This allows to link your profile to this item. Conditional Density Estimation 5. See general information about how to correct material in RePEc. Eeconometrics Contact Us Help Free delivery worldwide. This book is tailored to the noparametric of applied econometricians and social scientists.


While the majority of existing books on the subject operate from the presumption that the underlying data is strictly continuous in nature, more often than not social scientists deal with categorical data–nominal and ordinal–in applied settings. If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form.

Model Specification Tests It is written in plain language so that it can be understood by anyone with basic econometrics but zero knowledge of nonparametric methods. Irrelevant Regressors 4.

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Check on the provider’s web page whether it is in fact available. Nonparametric Series Methods The empirical tests, data, and exercises included in this textbook help make it the ideal introduction for graduate students and an indispensable resource for researchers.

The Univariate Case This book is tailored to the needs of applied econometricians and social scientists.