Non-Parametric Econometrics (Hardcover)

This book allows those with a basic knowledge of econometrics to learn the main nonparametric and semiparametric techniques used in econometric modelling, and how to apply them correctly. It looks at kernel density estimation, kernel regression, splines, wavelets, and mixture models, and provides useful empirical examples throughout. Using empirical application, several economic topics are addressed, including income distribution, wage equation, economic convergence, the Phillips curve, interest rate dynamics, returns volatility, and housing prices. A helpful appendix also explains how to implement the methods using R. This useful book will appeal to practitioners and researchers who need an accessible introduction to nonparametric and semiparametric econometrics. The practical approach provides an overview of the main techniques without including too much focus on mathematical formulas. It also serves as an accompanying textbook for a basic course, typically at undergraduate or graduate level.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Series:	Practical Econometrics
Release date:	December 2010
First published:	March 2011
Authors:	Ibrahim Ahamada • Emmanuel Flachaire
Dimensions:	241 x 158 x 16mm (L x W x T)
Format:	Hardcover
Pages:	176
ISBN-13:	978-0-19-957800-9
Categories:	Books > Business & Economics > Economics > Economic forecasting Books > Business & Economics > Economics > Econometrics > Economic statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-19-957800-1
Barcode:	9780199578009

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