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Matyas

Generalized Method of Moments Estimation

Medium: Buch
ISBN: 978-0-521-66967-2
Verlag: Cambridge University Press
Erscheinungstermin: 14.08.2007
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9780521669672
  • Medium: Buch
  • ISBN: 978-0-521-66967-2
  • Verlag: Cambridge University Press
  • Erscheinungstermin: 14.08.2007
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2007
  • Serie: Themes in Modern Econometrics
  • Produktform: Kartoniert, Paperback
  • Gewicht: 540 g
  • Seiten: 328
  • Format (B x H x T): 152 x 229 x 20 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.