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On some neglected implications of the Fisher effect

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  • Antonio Ribba

Abstract

Following the lead of Fama [American Economic Review 65 (1975) 269-282] and of other influential papers, such as Mishkin [Journal of Monetary Economics 30 (1992) 195-215], it has become standard to interpret the Fisher effect as the ability of short-term interest rate to predict future inflation. However, in this paper we demonstrate that by restricting to zero the instantaneous response of expected inflation to an interest rate shock, one can identify a disturbance that economic agents, according to the Fisherian framework, should evaluate as transitory. An important implication of this result is that short-term nominal interest rates cannot be interpreted as predictors, at least not long-run predictors, of inflation. We illustrate this result with an empirical application to US postwar data.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Antonio Ribba, 2011. "On some neglected implications of the Fisher effect," Empirical Economics, Springer, vol. 40(2), pages 451-470, April.
  • Handle: RePEc:spr:empeco:v:40:y:2011:i:2:p:451-470
    DOI: 10.1007/s00181-010-0348-9
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    1. 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 655-673, September.
    2. Donald Robertson & Anthony Garratt & Stephen Wright, 2006. "Permanent vs transitory components and economic fundamentals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 521-542.
    3. Evans, Martin D D & Lewis, Karen K, 1995. "Do Expected Shifts in Inflation Affect Estimates of the Long-Run Fisher Relation?," Journal of Finance, American Finance Association, vol. 50(1), pages 225-253, March.
    4. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    5. William J. Crowder, 1997. "The Long-Run Fisher Relation in Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 30(4), pages 1124-1142, November.
    6. Dimitris K. Christopoulos & Miguel A. Le√N-Ledesma, 2007. "A Long-Run Non-Linear Approach to the Fisher Effect," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 543-559, March.
    7. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    8. Pagan, A.R. & Pesaran, M. Hashem, 2008. "Econometric analysis of structural systems with permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3376-3395, October.
    9. Crowder, William J & Hoffman, Dennis L, 1996. "The Long-Run Relationship between Nominal Interest Rates and Inflation: The Fisher Equation Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 102-118, February.
    10. Fama, Eugene F, 1975. "Short-Term Interest Rates as Predictors of Inflation," American Economic Review, American Economic Association, vol. 65(3), pages 269-282, June.
    11. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    12. Joines, Douglas, 1977. "Short-Term Interest Rates as Predictors of Inflation: Comment," American Economic Review, American Economic Association, vol. 67(3), pages 476-477, June.
    13. Mishkin, Frederic S., 1992. "Is the Fisher effect for real? : A reexamination of the relationship between inflation and interest rates," Journal of Monetary Economics, Elsevier, vol. 30(2), pages 195-215, November.
    14. John H. Cochrane, 1994. "Permanent and Transitory Components of GNP and Stock Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 241-265.
    15. repec:bla:scandj:v:100:y:1998:i:2:p:457-72 is not listed on IDEAS
    16. repec:bla:jfinan:v:43:y:1988:i:5:p:1095-1112 is not listed on IDEAS
    17. Brüggemann, Ralf, 2006. "Finite sample properties of impulse response intervals in SVECMs with long-run identifying restrictions," SFB 649 Discussion Papers 2006-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    18. Sophocles N. Brissimis & Nicholas S. Magginas, 2008. "Inflation Forecasts and the New Keynesian Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 1-22, June.
    19. Ben S. Bernanke & Frederic S. Mishkin, 1997. "Inflation Targeting: A New Framework for Monetary Policy?," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 97-116, Spring.
    20. Ribba, Antonio, 2003. "Permanent-transitory decompositions and traditional measures of core inflation," Economics Letters, Elsevier, vol. 81(1), pages 109-116, October.
    21. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    22. Aaron Smallwood & Stefan C. Norrbin, 2008. "An Encompassing Test of Real Interest Rate Equalization," Review of International Economics, Wiley Blackwell, vol. 16(1), pages 114-126, February.
    23. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    24. Ribba, Antonio, 1997. "A note on the equivalence of long-run and short-run identifying restrictions in cointegrated systems," Economics Letters, Elsevier, vol. 56(3), pages 273-276, November.
    25. Carlson, John A, 1977. "Short-Term Interest Rates as Predictors of Inflation: Comment," American Economic Review, American Economic Association, vol. 67(3), pages 469-475, June.
    26. Fisher, Lance A. & Huh, Hyeon-seung, 2007. "Permanent-Transitory Decompositions Under Weak Exogeneity," Econometric Theory, Cambridge University Press, vol. 23(1), pages 183-189, February.
    27. Fisher, Lance A. & Huh, Hyeon-seung, 1999. "Weak exogeneity and long-run and contemporaneous identifying restrictions in VEC models," Economics Letters, Elsevier, vol. 63(2), pages 159-165, May.
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    Cited by:

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    2. Cavallo, Antonella & Ribba, Antonio, 2014. "Euro area inflation as a predictor of national inflation rates," Journal of Policy Modeling, Elsevier, vol. 36(6), pages 1048-1065.

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    More about this item

    Keywords

    Fisher effect; Identification; Structural cointegrated VARs; E40; C32;
    All these keywords.

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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