Cantitate/Preț
Produs

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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 35469 lei  6-8 săpt.
  Cambridge University Press – 12 apr 1999 35469 lei  6-8 săpt.
Hardback (1) 71707 lei  6-8 săpt.
  Cambridge University Press – 12 apr 1999 71707 lei  6-8 săpt.

Din seria Themes in Modern Econometrics

Preț: 35469 lei

Nou

Puncte Express: 532

Preț estimativ în valută:
6279 7301$ 5486£

Carte tipărită la comandă

Livrare economică 22 ianuarie-05 februarie 26

Preluare comenzi: 021 569.72.76

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.