Generalized Method of Moments Estimation (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
332
Utgivningsdatum
1999-04-01
Förlag
Cambridge University Press
Medarbetare
Laszlo, Matyas
Illustrationer
14tabs.
Volymtitel
Generalized Method of Moments Estimation
Dimensioner
226 x 151 x 14 mm
Vikt
436 g
Antal komponenter
1
Komponenter
2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam
ISBN
9780521669672
Generalized Method of Moments Estimation (häftad)

Generalized Method of Moments Estimation

Häftad Engelska, 1999-04-01
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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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Innehållsförteckning

Preface; 1. Introduction to the generalized method of moments estimation David Harris and Lszl Mtys; 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 Jrg Breitung and Michael Lechner; 10. Simulation based method of moments Roman Liesenfeld and Jrg Breitung; 11. Logically inconsistent limited dependent variables models J. S. Butler and Gabriel Picone; Index.