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Forecasting, Structural Time Series Models and the Kalman Filter

Paperback / softback

Main Details

Title Forecasting, Structural Time Series Models and the Kalman Filter
Authors and Contributors      By (author) Andrew C. Harvey
Physical Properties
Format:Paperback / softback
Pages:572
Dimensions(mm): Height 229,Width 152
Category/GenreEconometrics
Probability and statistics
ISBN/Barcode 9780521405737
ClassificationsDewey:519.55
Audience
Professional & Vocational
Illustrations Worked examples or Exercises

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 28 February 1991
Publication Country United Kingdom

Description

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.

Reviews

'... if you're looking for a state of the art monograph on applied aspects of state-space representations, and Kalman filtering ... then Harvey's book is required reading.' Econometric Theory