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

  • Pierre St-Amant

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. He identifies inflation expectations and ex ante real interest rate shocks by assuming that nominal interest rates and inflation expectations move one-for-one in the long-run - they are cointegrated (1,1) - and that the real interest rate is stationary. He finds that changes in inflation expectations and in the ex ante real interest rate are both important in explaining fluctuations in the U.S. 1-year and 10-year government bond rates. The author also finds that, while the increase in the 1-year and the 10-year bond rates in the 1970s and the early 1980s mainly reflects higher inflation expectations, changes in ex ante real interest rates appear to account for most of the fluctuations in these rates in 1994 and in the first half of 1995.

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File URL: http://econwpa.repec.org/eps/mac/papers/9602/9602004.pdf
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Paper provided by EconWPA in its series Macroeconomics with number 9602004.

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Length: 19 pages
Date of creation: 23 Feb 1996
Date of revision:
Handle: RePEc:wpa:wuwpma:9602004
Note: 19 printed pages, compressed PostScript file. Other recent Bank of Canada working papers are listed on the last page of this report.
Contact details of provider: Web page: http://econwpa.repec.org

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  1. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-44, September.
  2. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," Cowles Foundation Discussion Papers 870, Cowles Foundation for Research in Economics, Yale University.
  3. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-73, September.
  4. Joseph Atta-Mensah, 1996. "The Empirical Performance of Alternative Monetary and Liquidity Aggregates," Macroeconomics 9601001, EconWPA.
  5. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-40, September.
  6. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
  7. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
  8. Mark W. Watson, 1993. "Vector autoregressions and cointegration," Working Paper Series, Macroeconomic Issues 93-14, Federal Reserve Bank of Chicago.
  9. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
  10. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180 National Bureau of Economic Research, Inc.
  11. Alain DeSerres & Alain Guay & Pierre St-Amant, 1995. "Estimating and Projecting Potential Output Using Structural VAR Methodology," Macroeconomics 9504003, EconWPA.
  12. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-52, June.
  13. Evans, George W. & Reichlin, Lucrezia, 1993. "Information, Forecasts and Measurement of the Business Cycle," CEPR Discussion Papers 756, C.E.P.R. Discussion Papers.
  14. Gamber, Edward N & Joutz, Frederick L, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(5), pages 1387-93, December.
  15. Christopher Ragan, 1995. "Deriving Agents' Inflation Forecasts from the Term Structure of Interest Rates," Macroeconomics 9502003, EconWPA.
  16. Alain DeSerres & Alain Guay, 1995. "Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions," Econometrics 9510001, EconWPA.
  17. St-Amant, P., 1996. "Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology," Working Papers 96-2, Bank of Canada.
  18. Peter C.B. Phillips & Peter Schmidt, 1989. "Testing for a Unit Root in the Presence of Deterministic Trends," Cowles Foundation Discussion Papers 933, Cowles Foundation for Research in Economics, Yale University.
  19. Mishkin, Frederic S & Simon, John, 1995. "An Empirical Examination of the Fisher Effect in Australia," The Economic Record, The Economic Society of Australia, vol. 71(214), pages 217-29, September.
  20. Alain DeSerres, & Alain Guay & Pierre St-Amant, . "Estimating and Projecting Potential Output Using Structural VAR Methodology: The Case of the Mexican Economy," Working Papers 95-2, Bank of Canada.
  21. Peter C.B. Phillips & Sam Ouliaris & Joon Y. Park, 1988. "Testing for a Unit Root in the Presence of a Maintained Trend," Cowles Foundation Discussion Papers 880, Cowles Foundation for Research in Economics, Yale University.
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