This book will be useful to economists and analysists 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Destinations, frais et délaisVendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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. N° de réf. du vendeur 343ZB
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 204 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 455397/202
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Vendeur : NEPO UG, Rüsselsheim am Main, Allemagne
Etat : 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. N° de réf. du vendeur 345050
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 alter. N° de réf. du vendeur 5912339
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9780387951126
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9780387951126_new
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -lengths, that could not be captured with univariate linear filters. Exam ples of research in both directions can be found in Sims (1977), Lahiri and Moore (1991), Stock and Watson (1993), and Hamilton (1994) and (1989). Although the first approach is known to present serious limitations,the new and more sophisticated methods developed in the second approach (most notably, multivariate and nonlinear extensions) are at an early stage, and have proved still unreliable, displaying poor behavior when moving away from the sample period . Despite the fact that business cycle estimation is basic to the conduct of macroeconomic policy and to monitoring of the economy, many decades of attention have shown that formal modeling of economic cycles is a frustrating issue. As Baxter and King (1999) point out, we still face at present the same basic question 'as did Burns and Mitchell fifty years ago: how should one isolate the cyclical component of an eco nomic time series In particular, how should one separate business-cycle elements from slowly evolving secular trends, and rapidly varying seasonal or irregular components ' Be that as it may, it is a fact that measuring (in some way) the busi ness cycle is an actual pressing need of economists, in particular of those related to the functioning of policy-making agencies and institutions, and of applied macroeconomic research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. N° de réf. du vendeur 9780387951126
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - lengths, that could not be captured with univariate linear filters. Exam ples of research in both directions can be found in Sims (1977), Lahiri and Moore (1991), Stock and Watson (1993), and Hamilton (1994) and (1989). Although the first approach is known to present serious limitations,the new and more sophisticated methods developed in the second approach (most notably, multivariate and nonlinear extensions) are at an early stage, and have proved still unreliable, displaying poor behavior when moving away from the sample period . Despite the fact that business cycle estimation is basic to the conduct of macroeconomic policy and to monitoring of the economy, many decades of attention have shown that formal modeling of economic cycles is a frustrating issue. As Baxter and King (1999) point out, we still face at present the same basic question 'as did Burns and Mitchell fifty years ago: how should one isolate the cyclical component of an eco nomic time series In particular, how should one separate business-cycle elements from slowly evolving secular trends, and rapidly varying seasonal or irregular components ' Be that as it may, it is a fact that measuring (in some way) the busi ness cycle is an actual pressing need of economists, in particular of those related to the functioning of policy-making agencies and institutions, and of applied macroeconomic research. N° de réf. du vendeur 9780387951126
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 680. N° de réf. du vendeur C9780387951126
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 204. N° de réf. du vendeur 263079006
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