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A monetary real-time conditional forecast of euro area inflation


  • Sylvia Kaufmann

    (Economic Studies Division, Oesterreichische Nationalbank, Vienna, Austria)

  • Peter Kugler

    (University of Basel, Switzerland)


Based on a vector error correction model we produce conditional euro area inflation forecasts. We use real-time data on M3 and HICP, and include real GPD, the 3-month EURIBOR and the 10-year government bond yield as control variables. Real money growth and the term spread enter the system as stationary linear combinations. Missing and outlying values are substituted by model-based estimates using all available data information. In general, the conditional inflation forecasts are consistent with the European Central Bank's assessment of liquidity conditions for future inflation prospects. The evaluation of inflation forecasts under different monetary scenarios reveals the importance of keeping track of money growth rate in particular at the end of 2005. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.
  • Handle: RePEc:jof:jforec:v:29:y:2010:i:4:p:388-405 DOI: 10.1002/for.1133

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    References listed on IDEAS

    1. Sylvia Kaufmann & Peter Kugler, 2008. "Does Money Matter For Inflation In The Euro Area?," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 590-606, October.
    2. Michael Woodford, 2008. "How Important Is Money in the Conduct of Monetary Policy?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1561-1598, December.
    3. Beck, Guenter W. & Wieland, Volker, 2008. "Central bank misperceptions and the role of money in interest-rate rules," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 1-17, October.
    4. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2006. "Understanding the Link between Money Growth and Inflation in the Euro Area," CEPR Discussion Papers 5683, C.E.P.R. Discussion Papers.
    5. Faust, Jon & Wright, Jonathan H., 2008. "Efficient forecast tests for conditional policy forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 293-303, October.
    6. Bruggeman, Annick & Camba-Méndez, Gonzalo & Fischer, Björn & Sousa, João, 2005. "Structural filters for monetary analysis: the inflationary movements of money in the euro area," Working Paper Series 470, European Central Bank.
    7. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    8. Sylvia Kaufmann & Maria Teresa Valderrama, 2008. "Bank lending in Germany and the UK: are there differences between a bank-based and a market-based country?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 266-279.
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    Cited by:

    1. Sylvia Kaufmann, 2010. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
    2. Domenico Giannone & Jérôme Henry & Magdalena Lalik & Michele Modugno, 2012. "An Area-Wide Real-Time Database for the Euro Area," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1000-1013, November.
    3. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.

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