Generalized Method of Moments Estimation

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

Laszlo Matyas (Edited by)

9780521669672, Cambridge University Press

Paperback, published 13 April 1999

332 pages, 14 tables
22.8 x 15.2 x 1.7 cm, 0.435 kg

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.

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.

Subject Areas: Econometrics [KCH]