Nonparametric Econometrics: Theory and Practice

Author:   Qi Li ,  Jeffrey Scott Racine
Publisher:   Princeton University Press
ISBN:  

9780691121611


Pages:   768
Publication Date:   17 December 2006
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Nonparametric Econometrics: Theory and Practice


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Full Product Details

Author:   Qi Li ,  Jeffrey Scott Racine
Publisher:   Princeton University Press
Imprint:   Princeton University Press
Dimensions:   Width: 17.80cm , Height: 4.00cm , Length: 25.40cm
Weight:   1.446kg
ISBN:  

9780691121611


ISBN 10:   0691121613
Pages:   768
Publication Date:   17 December 2006
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

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Reviews

Overall, the text is a must for graduate students undertaking research in this area; the large number of exercises at the end of each chapter makes it very suitable for a graduate class on nonparametric and semiparametric techniques. In addition, because the coverage of the book is very comprehensive and up-to-date, it constitutes an excellent reference for researchers applying these techniques. Therefore, it can satisfy the needs of both audiences with a solid background in theoretical econometrics and more applied audiences. -- Margarita Genius European Review of Agricultural Economics


Overall, the text is a must for graduate students undertaking research in this area; the large number of exercises at the end of each chapter makes it very suitable for a graduate class on nonparametric and semiparametric techniques. In addition, because the coverage of the book is very comprehensive and up-to-date, it constitutes an excellent reference for researchers applying these techniques. Therefore, it can satisfy the needs of both audiences with a solid background in theoretical econometrics and more applied audiences. -- Margarita Genius, European Review of Agricultural Economics


Overall, the text is a must for graduate students undertaking research in this area; the large number of exercises at the end of each chapter makes it very suitable for a graduate class on nonparametric and semiparametric techniques. In addition, because the coverage of the book is very comprehensive and up-to-date, it constitutes an excellent reference for researchers applying these techniques. Therefore, it can satisfy the needs of both audiences with a solid background in theoretical econometrics and more applied audiences. --Margarita Genius, European Review of Agricultural Economics This book is ideal for a specialised graduate course. 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. In particular, recent developments on using mixed continuous and discrete data, research to which Li and Raci have contributed immensely, are well covered. --Economic Record


Author Information

Qi Li is Professor of Economics and Hugh Roy Cullen Professor in Liberal Arts at Texas A&M University. Jeffrey Scott Racine is Professor of Economics, Professor in the Graduate Program in Statistics, and Senator William McMaster Chair in Econometrics at McMaster University.

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