Publisher Description

This book has become one of the main statistical tools for the analysis of economic and financial data. Designed for both theoreticians and practitioners, this book provides a comprehensive treatment of GMM estimation and inference. All the main statistical results are discussed intuitively and proved formally, and all the inference techniques are illustrated using empirical examples in macroeconomics and finance. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field. About the Series
Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

Author Biography

Alastair R. Hall is Professor of Economics at North Carolina State University, where he has taught since 1985. He has also visited at the University of Pennsylvania, the University of Wisconsin-Madison's Graduate School of Business, and at the University of Birmingham.

Table of Contents

1: Introduction2: The Instrumental Variable Estimator in the Linear Regression Model3: GMM Estimation in Correctly Specified Models4: GMM Estimation in Misspecified Models5: Hypothesis Testing6: Asymptotic Theory and Finite Sample Behaviour7: Moment Selection in Theory and in Practice8: Alternative Approximations in Finite Sample Behaviour9: Empirical Examples10: Related Methods of EstimationAppendix: Mixing processes and Nonstationarity

Review

Hall's book gives a consistent and accurate account of the academic developments, especially in the time series area, and clearly fills a niche. The level required is that of a graduate student with a good background in econometrics. Rosario dell'Aquilla, Journal of the American Statistical Association Overall, the book is well written, very readable and well organized. In each chapter the author conveys the essential ideas at the beginning and the end of the chapter, and the reader is guided smoothly to the research frontier. Similarly, before stating new theorems and proving them, the author describes the basic ideas clearly, making the book very readable. Rosario dell'Aquilla, Journal of the American Statistical Association In summary, Generalized Method of Moments is an excellent and readable graduate text and reference book, especially suited for those researchers using GMM in a time series context in finance and macroeconomics. Rosario dell'Aquilla, Journal of the American Statistical Association Gerneralized Method of Moments is a highly readable textbook level introduction to the vast literature on GMM for the time series. It is a welcome edition not only the the Advanced Texts in Econometrics series published by Oxford University Press, but also to the list of textbooks suitablefor use in a graduate course in time series econometrics. Michael Jansson, Journal of Economic Literature The book can be highly recommended to all who are either interested in the statistical properties of GMM estimators as well as to those who intend to use this technique for empirical research. Herbert Buscher, Zentralblatt MATH 1076

Long Description

This book has become one of the main statistical tools for the analysis of economic and financial data. Designed for both theoreticians and practitioners, this book provides a comprehensive treatment of GMM estimation and inference. All the main statistical results are discussed intuitively and proved formally, and all the inference techniques are illustrated using empirical examples in macroeconomics and finance. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field.

Review Quote

The book can be highly recommended to all who are either interested in the statistical properties of GMM estimators as well as to those who intend to use this technique for empirical research.

Promotional "Headline"

1. Introduction 2. The Instrumental Variable Estimator in the Linear Regression Model 3. GMM Estimation in Correctly Specified Models 4. GMM Estimation in Misspecified Models 5. Hypothesis Testing 6. Asymptotic Theory and Finite Sample Behaviour 7. Moment Selection in Theory and in Practice 8. Alternative Approximations in Finite Sample Behaviour 9. Empirical Examples 10. Related Methods of Estimation Appendix: Mixing processes and Nonstationarity

Feature

The first book to provide an intuitive introduction to GMM combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field.
All the main statistical results are discussed intuitively as well as being proved formally. All the inference techniques are illustrated using empirical examples in macroeconomics and finance.
In addition to being an excellent graduate text, it is designed as a resource for both theoreticians and practitioners.

Details