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Money growth and inflation: A regime switching approach

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  • Amisano, Gianni
  • Fagan, Gabriel

Abstract

We develop a Markov Switching model for inflation with time-varying transition probabilities. Inflation is characterized by two regimes (high and low inflation) and the probability of regime changes depends on money growth. Using Bayesian techniques, we apply the model to the euro area, Germany, the US, the UK and Canada for data from the 1960s up to the present. Our estimates suggest that a smoothed measure of broad money growth, corrected for real-time estimates of trend velocity and potential output growth, has important leading indicator properties for switches between inflation regimes. Thus money growth provides an important early warning indicator for risks to price stability.

Suggested Citation

  • Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    • Handle: RePEc:eee:jimfin:v:33:y:2013:i:c:p:118-145
    DOI: 10.1016/j.jimonfin.2012.09.006
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    1. Lucas, Robert E, Jr, 1980. "Two Illustrations of the Quantity Theory of Money," American Economic Review, American Economic Association, vol. 70(5), pages 1005-1014, December.
    2. Alex Brazier & Richard Harrison & Mervyn King & Tony Yates, 2008. "The Danger of Inflating Expectations of Macroeconomic Stability: Heuristic Switching in an Overlapping-Generations Monetary Model," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 219-254, June.
    3. Luca Benati, 2008. "Investigating Inflation Persistence Across Monetary Regimes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(3), pages 1005-1060.
    4. Sarno, Lucio & Taylor, Mark P & Peel, David A, 2003. "Nonlinear Equilibrium Correction in U.S. Real Money Balances, 1869-1997," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 787-799, October.
    5. Cherie Metcalf & Angela Redish & Ronald Shearer, 1998. "New Estimates of the Canadian Money Stock: 1871-1967," Canadian Journal of Economics, Canadian Economics Association, vol. 31(1), pages 104-124, February.
    6. Amisano, Gianni & Giacomini, Raffaella, 2007. "Comparing Density Forecasts via Weighted Likelihood Ratio Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
    7. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    8. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    9. John Geweke & Gianni Amisano, 2011. "Hierarchical Markov normal mixture models with applications to financial asset returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 1-29, January/F.
    10. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    11. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    12. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    13. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    14. Estrella, Arturo & Mishkin, Frederic S., 1997. "Is there a role for monetary aggregates in the conduct of monetary policy?," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 279-304, October.
    15. Ralf Brüggemann & Helmut Lütkepohl & Massimiliano Marcellino, 2008. "Forecasting euro area variables with German pre-EMU data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 465-481.
    16. Evans, Martin & Wachtel, Paul, 1993. "Inflation Regimes and the," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(3), pages 475-511, August.
    17. Timmermann, Allan, 2000. "Moments of Markov switching models," Journal of Econometrics, Elsevier, vol. 96(1), pages 75-111, May.
    18. Juan Ayuso & Graciela L. Kaminsky & David López-Salido, 2003. "Inflation regimes and stabilisation policies: Spain 1962-2001," Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 615-631, September.
    19. Refet S Gürkaynak & Andrew Levin & Eric Swanson, 2010. "Does Inflation Targeting Anchor Long-Run Inflation Expectations? Evidence from the U.S., UK, and Sweden," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1208-1242, December.
    20. Andreas Beyer & Jurgen A. Doornik & David F. Hendry, 2000. "Reconstructing Aggregate Euro‐zone Data," Journal of Common Market Studies, Wiley Blackwell, vol. 38(4), pages 613-624, November.
    21. 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.
    22. Lucia Alessi & Carsten Detken, 2009. "Global liquidity as an early warning indicator for asset price boom/bust cycles," Research Bulletin, European Central Bank, vol. 8, pages 7-9.
    23. Sargent, Thomas & Surico, Paolo, 2008. "Monetary policies and low-frequency manifestations of the quantity theory," Discussion Papers 26, Monetary Policy Committee Unit, Bank of England.
    24. Detken, Carsten & Alessi, Lucia, 2009. "'Real time'early warning indicators for costly asset price boom/bust cycles: a role for global liquidity," Working Paper Series 1039, European Central Bank.
    25. Martin Evans & Paul Wachtel, 1993. "Inflation regimes and the sources of inflation uncertainty," Proceedings, Federal Reserve Bank of Cleveland, pages 475-520.
    26. Paul Grauwe, 2009. "The Euro at ten: achievements and challenges," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(1), pages 5-20, February.
    27. Michael Woodford, 1994. "Nonstandard Indicators for Monetary Policy: Can Their Usefulness Be Judged from Forecasting Regressions?," NBER Chapters, in: Monetary Policy, pages 95-115, National Bureau of Economic Research, Inc.
    28. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, April.
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    More about this item

    Keywords

    Money growth; Inflation regimes; Early warning; Time varying transition probabilities; Markov Switching model; Bayesian inference;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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