Semiparametric Regression for the Applied Econometrician

Semiparametric Regression for the Applied Econometrician - Themes in Modern Econometrics

Hardback (18 Dec 2003)

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Publisher's Synopsis

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples include estimation of Engel curves and equivalence scales, scale economies, semiparametric Cobb-Douglas, translog and CES cost functions, household gasoline consumption, hedonic housing prices, option prices and state price density estimation. The book should be of interest to a broad range of economists including those working in industrial organization, labor, development, urban, energy and financial economics. A variety of testing procedures are covered including simple goodness of fit tests and residual regression tests. These procedures can be used to test hypotheses such as parametric and semiparametric specifications, significance, monotonicity and additive separability. Other topics include endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are provided.

Book information

ISBN: 9780521812832
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 330.01519536
DEWEY edition: 22
Language: English
Number of pages: 213
Weight: 438g
Height: 229mm
Width: 152mm
Spine width: 17mm