Synopses & Reviews
This book provides a rigorous examination of a number of timely topics in advanced econometrics, together with an extensive and thorough treatment of the necessary probability theory. The book is uniquely self-contained, providing the reader with a selection of the latest developments in econometric theory, plus the required introductory material on each topic. It will be used by graduate students of econometrics and statistics, and is particularly suitable for self-tuition.
Synopsis
A rigorous treatment of a number of timely topics in advanced econometrics.
Synopsis
This book provides a rigorous treatment of a number of timely topics in advanced econometrics, together with the necessary introductory material on each subject. It will be of great use to graduate students of econometrics and statistics, and is particularly suitable for self-tuition.
Table of Contents
1. Basic probability theory; 2. Convergence; 3. Introduction to conditioning; 4. Nonlinear parametric regression analysis and maximum likelihood theory; 5. Tests for model misspecification; 6. Conditioning and dependence; 7. Functional specification of time series models; 8. ARMAX models: estimation and testing; 9. Unit roots and cointegration; 10. The Nadaraya-Watson kernel regression function estimator.