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Synopsis
Concisely written and up-to-date, this book provides a unified and comprehensive analysis of the full range of topics that comprise modern time series econometrics. While it does demand a good quantitative grounding, it does not require a high mathematical rigor or a deep knowledge of economics. One of the book's most attractive features is the close attention it pays throughout to economic models and phenomena. The authors provide a sound analysis of the statistical origins of topics such as seasonal adjustment, causality, exogeneity, cointegration, prediction, and forecasting. Their treatment of Box-Jenkins models and the Kalman filter represents a synthesis of the most recent theoretical and applied work in these areas.
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Book Description
Concisely written and up-to-date, this book provides a unified and comprehensive analysis of the full range of topics that comprise modern time series econometrics. One of its most attractive features is the close attention it pays throughout to economic models and phenomena.
Language Notes
Text: English (translation)
Original Language: French
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date1997
- ISBN 10 0521423082
- ISBN 13 9780521423083
- BindingPaperback
- LanguageEnglish
- Number of pages688
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Time Series and Dynamic Models
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Cambridge University Press, 1997
ISBN 10: 0521423082
ISBN 13: 9780521423083
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Time Series and Dynamic Models
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Cambridge University Press, 1997
ISBN 10: 0521423082
ISBN 13: 9780521423083
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Time Series and Dynamic Models (Themes in Modern Econometrics)
Published by
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ISBN 10: 0521423082
ISBN 13: 9780521423083
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Time Series and Dynamic Models (Themes in Modern Econometrics)
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Time Series and Dynamic Models.; (Themes in Modern Econometrics)
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Time Series and Dynamic Models (Themes in Modern Econometrics)
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Time Series and Dynamic Models (Paperback)
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ISBN 10: 0521423082
ISBN 13: 9780521423083
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Paperback. Condition: new. Paperback. Concisely written and up-to-date, this book provides a unified and comprehensive analysis of the full range of topics that comprise modern time series econometrics. While it does demand a good quantitative grounding, it does not require a high mathematical rigor or a deep knowledge of economics. One of the book's most attractive features is the close attention it pays throughout to economic models and phenomena. The authors provide a sound analysis of the statistical origins of topics such as seasonal adjustment, causality, exogeneity, cointegration, prediction, and forecasting. Their treatment of Box-Jenkins models and the Kalman filter represents a synthesis of the most recent theoretical and applied work in these areas. An analysis of traditional and modern time series econometrics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521423083
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Time Series and Dynamic Models
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