Description: Nonlinear Time Series Analysis of Business CyclesAuthor(s): C. Milas, P. A. Rothman, Dick Dijk, David E. Wildasin Format: Hardback Publisher: Emerald Publishing Limited, United Kingdom Imprint: Elsevier Science Ltd ISBN-13: 9780444518385, 978-0444518385 Synopsis 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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Book Title: Nonlinear Time Series Analysis of Business Cycles
Number of Pages: 460 Pages
Publication Name: Nonlinear Time Series Analysis of Business Cycles
Language: English
Publisher: Emerald Publishing The Limited
Item Height: 234 mm
Subject: Business
Publication Year: 2006
Type: Textbook
Item Weight: 819 g
Author: Dick Van Dijk, P. A. Rothman, C. Milas, David E. Wildasin
Item Width: 156 mm
Series: Contributions to Economic Analysis
Format: Hardcover