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Non-Parametric and Neural Network Models of Inflation Changes

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Author Info
Tkacz, Greg

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Abstract

Previous studies have shown that interest rate yield spreads contain useful information about future changes in inflation. However, such studies have for the most part focused on linear models, ignoring potential non-linearities between interest rates and inflation. Using two different non-linear models, we find that the relationship between interest rate yield spreads and inflation changes for policy-relevant horizons in the United States is most pronounced at negative long-short yield spreads, and almost non-existent at positive values of the spread. These findings are consistent with studies noting asymmetric effects of monetary policy on the real economy.

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File URL: http://www.bankofcanada.ca/en/res/wp/2000/wp00-7.pdf
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Publisher Info
Paper provided by Bank of Canada in its series Working Papers with number 00-7.

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Length: 26 pages
Date of creation: 2000
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Handle: RePEc:bca:bocawp:00-7

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Related research
Keywords: Economic models; Inflation and prices;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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  1. Martha Misas & Enrique López & Pablo Querubín, . "La Inflación en Colombia: Una Aproximación desde las Redes Neuronales," Borradores de Economia 199, Banco de la Republica de Colombia. [Downloadable!]
    Other versions:
  2. Peter Sephton, 2005. "Forecasting inflation using the term structure and MARS," Applied Economics Letters, Taylor and Francis Journals, vol. 12(4), pages 199-202, March. [Downloadable!] (restricted)
  3. Greg Tkacz, 2002. "Inflation Changes, Yield Spreads, and Threshold Effects," Working Papers 02-40, Bank of Canada. [Downloadable!]
    Other versions:
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This page was last updated on 2009-11-24.


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