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Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology

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  • Pierre St-Amant

Abstract

In this paper, the author uses structural vector autoregression methodology to decompose U.S. nominal interest rates into an expected inflation component and an ex ante real interest rate component.

Suggested Citation

  • Pierre St-Amant, 1996. "Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology," Staff Working Papers 96-2, Bank of Canada.
    • Handle: RePEc:bca:bocawp:96-2
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    4. Pierre St-Amant, 1996. "Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology," Staff Working Papers 96-2, Bank of Canada.
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    9. Alain DeSerres & Alain Guay, 1995. "Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions," Econometrics 9510001, University Library of Munich, Germany.
    10. Alain DeSerres & Alain Guay & Pierre St-Amant, 1995. "Estimating and Projecting Potential Output Using Structural VAR Methodology," Macroeconomics 9504003, University Library of Munich, Germany.
    11. Joseph Atta-Mensah, 1996. "The Empirical Performance of Alternative Monetary and Liquidity Aggregates," Macroeconomics 9601001, University Library of Munich, Germany.
    12. Evans, George & Reichlin, Lucrezia, 1994. "Information, forecasts, and measurement of the business cycle," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 233-254, April.
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    16. Christopher Ragan, "undated". "Deriving Agents' Inflation Forecasts from the Term Structure of Interest Rates," Staff Working Papers 95-1, Bank of Canada.
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    1. Pierre St-Amant, 1996. "Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology," Staff Working Papers 96-2, Bank of Canada.
    2. Simon van Norden & Robert Vigfusson, 1996. "Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures," Staff Working Papers 96-3, Bank of Canada.
    3. Ulrich Fritsche & Jörg Döpke, 2005. "Forecast Errors and the Macroeconomy: A Non-Linear Relationship?," Discussion Papers of DIW Berlin 498, DIW Berlin, German Institute for Economic Research.
    4. Dopke, Jorg & Fritsche, Ulrich, 2006. "When do forecasters disagree? An assessment of German growth and inflation forecast dispersion," International Journal of Forecasting, Elsevier, vol. 22(1), pages 125-135.
    5. Maha Kalai & Thouraya Boujelbene Dammak, 2017. "Core Inflation Measure and Its Effect on Economic Growth and Employment in Tunisia," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 20(66), pages 153-179, December.
    6. Hugo Oliveros C., 1999. "Expectativas:Una Aproximación A Través De Modelos De Escogencia Discreta," Borradores de Economia 2697, Banco de la Republica.
    7. Hugo Oliveros, 1999. "Expectativas: Una Aproximación a Través de Modelos de Escogencia Discreta," Borradores de Economia 137, Banco de la Republica de Colombia.

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    More about this item

    Keywords

    REGRESSION ANALYSIS; INTEREST RATE; FINANCIAL POLICY;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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