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Generalized Method of Moments Estimation: Themes in Modern Econometrics

Editat de Laszlo Matyas
en Limba Engleză Paperback – 12 apr 1999
The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The work is likely to become a standard reference for graduate students and professionals in economics, statistics, financial modeling, and applied mathematics.
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Specificații

ISBN-13: 9780521669672
ISBN-10: 0521669677
Pagini: 332
Ilustrații: 14 tables
Dimensiuni: 152 x 228 x 17 mm
Greutate: 0.44 kg
Ediția:New.
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Themes in Modern Econometrics

Locul publicării:New York, United States

Cuprins

Preface; 1. Introduction to the generalized method of moments estimation David Harris and László Mátyás; 2. GMM estimation techniques Masao Ogaki; 3. Covariance matrix estimation Matthew J. Cushing and Mary G. McGarvey; 4. Hypothesis testing in models estimated by GMM Alastair R. Hall; 5. Finite sample properties of GMM estimators and tests Jan M. Podivinsky; 6. GMM estimation of time series models David Harris; 7. Reduced rank regression using GMM Frank Kleibergen; 8. Estimation of linear panel data models using GMM Seung C. Ahn and Peter Schmidt; 9. Alternative GMM methods for nonlinear panel data models Jörg Breitung and Michael Lechner; 10. Simulation based method of moments Roman Liesenfeld and Jörg Breitung; 11. Logically inconsistent limited dependent variables models J. S. Butler and Gabriel Picone; Index.

Descriere

The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation.