Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis)

ISBN: 044451838X

Category: Business

Tag: Business & Investing


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Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis)
Publisher: Elsevier Science | ISBN: 044451838X | edition 2006 | PDF | 460 pages | 3,3 mb

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

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