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Inflation Expectations and Regime Shifts

Author

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  • Matti Viren

    (Department of Economics, University of Turku)

Abstract

This paper focuses on the determination of inflation expectations. The following two questions are examined: How much do inflation expectations reflect different economic and institutional regime shifts and in which way do inflation expectations adjust to past inflation? The basic idea in the analysis is an assumption that inflation expectations do not mechanically reflect past inflation as may econometric specification de facto assume but rather they depend on the relevant economic regime. Also the adjustment of expectations to past inflation is different in different inflation regimes. The regime analysis is based on panel data from EMU/EU countries for the period 1973–2004, while the inflation adjustment analysis mainly uses the Kalman filter technique for individual countries for the same period. Expectations (forecasts) are derived from OECD data. Empirical results strongly favour the regime-sensitivity hypothesis and provide an explanation for the poor performance of conventional estimation procedures in the context of Phillips curves

Suggested Citation

  • Matti Viren, 2006. "Inflation Expectations and Regime Shifts," Discussion Papers 5, Aboa Centre for Economics.
    • Handle: RePEc:tkk:dpaper:dp5
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    References listed on IDEAS

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    1. Feng Zhu, 2005. "The fragility of the Phillips curve: A bumpy ride in the frequency domain," BIS Working Papers 183, Bank for International Settlements.
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    3. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270, National Bureau of Economic Research, Inc.
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    5. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    6. Peter Tillmann, 2009. "The New Keynesian Phillips curve in Europe: does it fit or does it fail?," Empirical Economics, Springer, vol. 37(3), pages 463-473, December.
    7. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    8. Rochelle Edge & Thomas Laubach, 2004. "Learning and Shifts in Long-Run Growth," Computing in Economics and Finance 2004 123, Society for Computational Economics.
    9. Barsky, Robert B., 1987. "The Fisher hypothesis and the forecastability and persistence of inflation," Journal of Monetary Economics, Elsevier, vol. 19(1), pages 3-24, January.
    10. Laurence Ball, 2000. "Near-rationality and inflation in two monetary regimes," Proceedings, Federal Reserve Bank of San Francisco.
    11. Edge, Rochelle M. & Laubach, Thomas & Williams, John C., 2007. "Learning and shifts in long-run productivity growth," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2421-2438, November.
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    Cited by:

    1. Dzmitry Kruk, 2016. "SVAR Approach for Extracting Inflation Expectations Given Severe Monetary Shocks: Evidence from Belarus," BEROC Working Paper Series 39, Belarusian Economic Research and Outreach Center (BEROC).

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    More about this item

    Keywords

    inflation expectations; Kalman filter; stability;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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