| 000 | 02421nam a2200277Ia 4500 | ||
|---|---|---|---|
| 999 |
_c1395 _d1395 |
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| 003 | DE-boiza | ||
| 005 | 20191105132645.0 | ||
| 008 | 191008 | ||
| 020 | _a0-691-12161-3 | ||
| 040 | _cIZA | ||
| 100 |
_aLi, Qi _93926 |
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| 100 |
_aRacine, Jeffrey Scott _93927 |
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| 245 | 0 | _aNonparametric Econometrics: Theory and Practice | |
| 260 |
_c2007 _bPrinceton University Press, _aPrinceton, N.J., |
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| 300 | _a746 pages | ||
| 340 | _hC2 81 | ||
| 520 | _aUntil 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. 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. 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. 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. | ||
| 650 |
_aeconometrics _93928 |
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| 650 |
_aapplied econometrics _95478 |
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| 650 |
_asocial sciences _9571 |
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| 650 |
_adata analysis _91118 |
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| 650 |
_anonparametric econometrics _93768 |
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| 655 |
_atextbook _95204 |
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| 856 |
_uhttps://press.princeton.edu/books/hardcover/9780691121611/nonparametric-econometrics _yPublisher's website |
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| 942 |
_cBO _2ddc |
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