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The New York Innovation Center bridges the worlds of finance, technology, and innovation and generates insights into high-value central bank-related opportunities.
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| September 2000 Number 113 |
| JEL classification: E44, C22, C52 |
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Authors: Arturo Estrella, Anthony P. Rodrigues, and Sebastian Schich Empirical research over the last decade has uncovered predictive relationships between the slope of the yield curve and subsequent real activity and inflation. Some of these relationships are highly significant, but their theoretical motivations suggest that they may not be stable over time. We use recent econometric techniques for break testing to examine whether the empirical relationships are in fact stable. We consider continuous models, which predict either economic growth or inflation, and binary models, which predict either recessions or inflationary pressure. In each case, we draw on evidence from Germany and the United States. Models that predict real activity are more stable than those that predict inflation, and binary models are more stable than continuous models. The model that predicts recessions is stable over our full sample period in both Germany and the United States. |
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For a published version of this report, see Arturo Estrella, Anthony P. Rodrigues, and Sebastian Schich, "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," Review of Economics and Statistics 85, no. 3 (August 2003): 629-44. |
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32 pages / 159 kb
