Nonlinear Time Series Analysis of Business Cycles

Language: English

Published by Emerald Publishing Limited, GB, 2006

044451838X / 9780444518385

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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.…

Seller Inventory # LU-9780444518385

Title
Nonlinear Time Series Analysis of Business Cycles
Author
C. Milas
Publisher
Emerald Publishing Limited, GB
Publication year
2006
Condition
New
Binding
Hardback
Language
English
ISBN 10
044451838X
ISBN 13
9780444518385
Item weight
819 grams

Rarewaves USA United

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