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Can the term spread predict output growth and recessions? A survey of the literature

This article surveys recent research on the usefulness of the term spread (i.e., the difference between the yields on long-term and short-term Treasury securities) for predicting changes in economic activity. Most studies use linear regression techniques to forecast changes in output or dichotomous...

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Bibliographic Details
Published in:Review - Federal Reserve Bank of St. Louis 2009-09, Vol.91 (5), p.419-440
Main Authors: Wheelock, David C, Wohar, Mark E
Format: Article
Language:English
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Summary:This article surveys recent research on the usefulness of the term spread (i.e., the difference between the yields on long-term and short-term Treasury securities) for predicting changes in economic activity. Most studies use linear regression techniques to forecast changes in output or dichotomous choice models to forecast recessions. Others use time-varying parameter models, such as Markov-switching models and smooth transition models, to account for structural changes or other nonlinearities. Many studies find that the term spread predicts output growth and recessions up to one year in advance, but several also find its usefulness varies across countries and over time. In particular, many studies find that the ability of the term spread to forecast output growth has diminished in recent years, although it remains a reliable predictor of recessions. Reprinted by permission of the Federal Reserve Bank of St. Louis
ISSN:0014-9187
2163-4505
DOI:10.20955/r.91.419-440