Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 110701025X ISBN 13: 9781107010253
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 142,37
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 110701025X ISBN 13: 9781107010253
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 206,45
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Bridging the gap between applied economists and theoretical nonparametric econometricians, this book explains basic to advanced nonparametric methods with applications. Num Pages: 380 pages, 81 b/w illus. 34 tables. BIC Classification: KCG; KCHS. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177 x 22. Weight in Grams: 880. . 2015. Hardback. . . . . Books ship from the US and Ireland.
EUR 221,51
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In den WarenkorbHardcover. Zustand: Brand New. 462 pages. 10.00x7.20x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 110701025X ISBN 13: 9781107010253
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.