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Añadir al carritoHardcover. Condición: Near Fine. Estado de la sobrecubierta: N/A. 1st Edition. xxiv, 436pp. Glossy printed cloth-covered boards. Bottom corners bumped. Internally neat, clean, bright and tight. 8vo.
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Añadir al carritoCondición: New. pp. 460 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Añadir al carritoHardback. Condición: New. The business cycle has long been the focus of empirical economic research. Until recently statistical analysis of macroeconomic fluctuations was dominated by linear time series methods. Over the past 15 years, however, economists have increasingly applied tractable parametric nonlinear time series models to business cycle data; most prominent in this set of models are the classes of Threshold AutoRegressive (TAR) models, Markov-Switching AutoRegressive (MSAR) models, and Smooth Transition AutoRegressive (STAR) models. In doing so, several important questions have been addressed in the literature, including: Do out-of-sample (point, interval, density, and turning point) forecasts obtained with nonlinear time series models dominate those generated with linear models? How should business cycles be dated and measured? What is the response of output and employment to oil-price and monetary shocks? How does monetary policy respond to asymmetries over the business cycle? Are business cycles due more to permanent or to transitory negative shocks? And, is the business cycle asymmetric, and does it matter? "Contributions to Economic Analysis" was established in 1952. The series purpose is to stimulate the international exchange of scientific information. The series includes books from all areas of macroeconomics and microeconomics.
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Publicado por Emerald Publishing Limited, GB, 2006
ISBN 10: 044451838X ISBN 13: 9780444518385
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Añadir al carritoHardback. Condición: New. The business cycle has long been the focus of empirical economic research. Until recently statistical analysis of macroeconomic fluctuations was dominated by linear time series methods. Over the past 15 years, however, economists have increasingly applied tractable parametric nonlinear time series models to business cycle data; most prominent in this set of models are the classes of Threshold AutoRegressive (TAR) models, Markov-Switching AutoRegressive (MSAR) models, and Smooth Transition AutoRegressive (STAR) models. In doing so, several important questions have been addressed in the literature, including: Do out-of-sample (point, interval, density, and turning point) forecasts obtained with nonlinear time series models dominate those generated with linear models? How should business cycles be dated and measured? What is the response of output and employment to oil-price and monetary shocks? How does monetary policy respond to asymmetries over the business cycle? Are business cycles due more to permanent or to transitory negative shocks? And, is the business cycle asymmetric, and does it matter? "Contributions to Economic Analysis" was established in 1952. The series purpose is to stimulate the international exchange of scientific information. The series includes books from all areas of macroeconomics and microeconomics.
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Publicado por Emerald Publishing Limited, 2006
ISBN 10: 044451838X ISBN 13: 9780444518385
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Añadir al carritoCondición: Like New. Used - Like New. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Publicado por Emerald Group Publishing Limited, 2006
ISBN 10: 044451838X ISBN 13: 9780444518385
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. InhaltsverzeichnisContents: Introduction. 1. Dating business cycle turning points (M. Chauvet, J.D. Hamilton). 2. Combining predictors & combining information in modelling: forecasting U.S. recession probabilities and output growth (.
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Añadir al carritoBuch. Condición: Neu. Nonlinear Time Series Analysis of Business Cycles | C. Milas (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2006 | Elsevier Science Ltd | EAN 9780444518385 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume of Contributions to Economic Analysis addresses a number of important questions in the field of business cycles including: How should business cycles be dated and measured What is the response of output and employment to oil-price and monetary shocks And, is the business cycle asymmetric, and does it matter.
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 460.