Publication: Nonparametric Econometrics: Theory and Practice
All || By Area || By YearTitle | Nonparametric Econometrics: Theory and Practice | Authors/Editors* | Qi Li, Jeffrey S. Racine |
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Where published* | Princeton University Press |
How published* | Journal |
Year* | 2007 |
Volume | -1 |
Number | -1 |
Pages | |
Publisher | Princeton University Press |
Keywords | |
Link | |
Abstract |
Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. 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. The conventional nonparametric approach to dealing with the presence of discrete variables is acknowledged to be unsatisfactory. This book is tailored to the needs of applied econometricians and social scientists. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types--continuous, nominal, and ordinal--within one coherent framework. They also emphasize the properties of nonparametric estimators in the presence of potentially irrelevant variables. Nonparametric Econometrics covers all the material necessary to understand and apply nonparametric methods for real-world problems. |
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