This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series forecasts and back-casts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented using artificial and actual data demonstrate the superiority of the alternative strategy.
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MATHEMATICAL REVIEWS
"Altogether this book is more on the mathematical side, it is well written following the same idea throughout and contains many exercises which complete the different topics. The text concentrates on the approach of the authors...I enjoyed reading this nicely written book which can certainly be recommended to all mathematically oriented statisticians interested in the subject."
This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series forecasts and back-casts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented using artificial and actual data demonstrate the superiority of the alternative strategy.
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Versandziele, Kosten & DauerAnbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
Softcover reprint of the original 1st ed. 2001. 16 x 24 cm. VIII, 190 S. VIII, 190 p. 1 illus. in color. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. (Lecture Notes in Statistics). Sprache: Englisch. Bestandsnummer des Verkäufers 343ZB
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Paperback. Zustand: new. Paperback. The purpose of the manuscript is to outline and demonstrate problems with the use of the HP filter, and to propose an alternative strategy for inferring cyclical behavior from a time series that features seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series in question with forecasts and backcasts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented in the paper using artificial and actual data demonstrate the superiority of the alternative strategy. This book will be useful to economists and analysts in government and financial/commercial companies who routinely monitor the state of the economic cycle, and who produce short-term forecasts. It will also be of interest to academics who do business cycle research, and who need to extract a measure of the cycle from the data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780387951126
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Anbieter: NEPO UG, Rüsselsheim am Main, Deutschland
Zustand: Gut. 204 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 279 23,0 x 15,2 x 0,6 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 2001. Bestandsnummer des Verkäufers 345050
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PAPERBACK. Zustand: Very Good. 0387951121 Very Good++; Softcover; 2000, Springer-Verlag Publishing; Covers still glossy; Pages bright & unmarked; Tight binding with straight spine; Tan and black covers with title in black lettering; 190 pages; "Measuring Business Cycles in Economic Time Series (Lecture Notes in Statistics)," by Regina Kaiser & Agustin Maravall. Bestandsnummer des Verkäufers SKU-E8309308201
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series forecasts and back-casts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented using artificial and actual data demonstrate the superiority of the alternative strategy. 204 pp. Englisch. Bestandsnummer des Verkäufers 9780387951126
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Zustand: New. Print on Demand pp. 204 Illus. Bestandsnummer des Verkäufers 5850241
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