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Until now, students and researchers in nonparametric andsemiparametric statistics and econometrics have had to turn to thelatest journal articles to keep pace with these emerging methods ofeconomic analysis. Nonparametric Econometrics fills a major gapby gathering together the most up-to-date theory and techniques andpresenting them in a remarkably straightforward and accessible format.The empirical tests, data, and exercises included in this textbook helpmake it the ideal introduction for graduate students and anindispensable resource for researchers.
Nonparametric andsemiparametric methods have attracted a great deal of attention fromstatisticians in recent decades. While the majority of existing bookson the subject operate from the presumption that the underlying data isstrictly continuous in nature, more often than not social scientistsdeal with categorical data--nominal and ordinal--in applied settings.The conventional nonparametric approach to dealing with the presence ofdiscrete variables is acknowledged to be unsatisfactory.
Thisbook is tailored to the needs of applied econometricians and socialscientists. Qi Li and Jeffrey Racine emphasize nonparametric techniquessuited to the rich array of data types--continuous, nominal, andordinal--within one coherent framework. They also emphasize theproperties of nonparametric estimators in the presence of potentiallyirrelevant variables.
Nonparametric Econometrics covers all the material necessary to understand and apply nonparametric methods for real-world problems.
Qi Li is Professor of Economics and Hugh Roy Cullen Professor in Liberal Arts at Texas A&M University. Jeffrey Scott Racineis Professor of Economics, Professor in the Graduate Program inStatistics, and Senator William McMaster Chair in Econometrics atMcMaster University.
Review:
"Overall,the text is a must for graduate students undertaking research in thisarea; the large number of exercises at the end of each chapter makes itvery suitable for a graduate class on nonparametric and semiparametrictechniques. In addition, because the coverage of the book is verycomprehensive and up-to-date, it constitutes an excellent reference forresearchers applying these techniques. Therefore, it can satisfy theneeds of both audiences with a solid background in theoreticaleconometrics and more applied audiences."--Margarita Genius, European Review of Agricultural Economics
Endorsements:
"Nonparametric Econometricsby Li and Racine is a must for any serious econometrician orstatistician who is working on cutting-edge problems. The theoreticaltreatment of nonparametric methods is remarkably complete in itscoverage of mainstream and relatively arcane topics. I particularlylike Li and Racine's general treatment of continuous and discreteregressors and of specification testing, topics that I have not seenhandled in such a comprehensive fashion. I will certainly use this inmy graduate econometrics courses and in conducting my ownresearch."--Robin Sickles, Rice University
"Very few studies havetried to apply the nonparametric techniques to analyze real data. Thelack of applications of those techniques is perhaps attributable to thelack of a good textbook that explains intuitively how and why thosetechniques work. This book by Li and Racine serves both appliedresearchers and graduate students. It is written in plain language sothat it can be understood by anyone with basic econometrics but zeroknowledge of nonparametric methods. And it contains enough specificsthat clearly spell out steps to implement those methods."--Chunrong Ai,University of Florida
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