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Nonlinear autoregressive leading indicator models of output in G-7 countries Author info | Abstract | Publisher info | Download info | Related research | Statistics George Athanasopoulos (Department of Econometrics and Business Statistics, Monash University, Clayton, Australia)
Heather M. Anderson (School of Economics, Australian National University, Canberra, Australia)
Farshid Vahid (School of Economics, Australian National University, Canberra, Australia)
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This paper studies linear and nonlinear autoregressive leading indicator models of business cycles in G-7 countries. Our models use the spread between short-term and long-term interest rates as leading indicators for GDP. We examine data admissibility by determining whether these models have the ability to produce time series with classical cycles that resemble the observed classical cycles in the data, and then we ask whether this data admissibility lends itself to better predictions of the probability of recession. Copyright © 2007 John Wiley & Sons, Ltd.
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Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics .
Volume (Year): 22 (2007)
Issue (Month): 1 ()
Pages: 63-87
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Handle: RePEc:jae:japmet:v:22:y:2007:i:1:p:63-87Contact details of provider: Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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