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Forecasting, Structural Time Series Models and the Kalman Filter
     

Forecasting, Structural Time Series Models and the Kalman Filter

by Andrew C. Harvey, A. C. Harvey
 

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ISBN-10: 0521405734

ISBN-13: 9780521405737

Pub. Date: 05/28/2003

Publisher: Cambridge University Press

This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of

Overview

This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. This technique was originally developed in control engineering but is becoming increasingly important in economics and operations research. The book is primarily concerned with modeling economic and social time series and with addressing the special problems that the treatment of such series pose.

Product Details

ISBN-13:
9780521405737
Publisher:
Cambridge University Press
Publication date:
05/28/2003
Edition description:
Reprint
Pages:
572
Product dimensions:
5.98(w) x 8.98(h) x 1.26(d)

Related Subjects

Table of Contents

List of figures; Acknowledgement; Preface; Notation and conventions; List of abbreviations; 1. Introduction; 2. Univariate time series models; 3. State space models and the Kalman filter; 4. Estimation, prediction and smoothing for univariate structural time series models; 5. Testing and model selection; 6. Extensions of the univariate model; 7. Explanatory variables; 8. Multivariate models; 9. Continuous time; Appendices; Selected answers to exercises; References; Author index; Subject index.

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