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.
Table of Contents
- 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
400 pages