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Forecasting real GDP: what role for narrow money?

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  • Brand, Claus
  • Reimers, Hans-Eggert
  • Seitz, Franz

Abstract

This paper analyses the information content of M1 for euro area real GDP since the beginning of the 1980s and reviews theoretical arguments on why real narrow money should help predict real GDP. We find that, unlike in the U.S., in the euro area, M1 has better and more robust forecasting properties for real GDP than yield spreads. This property persists when one controls for a number of other influences. We also evaluate the out-of-sample forecasting performance of different classes of VAR models comprising real M1, GDP and other indicators, using as benchmark a simple univariate model. As a result, only VARs in first differences are able to outperform the benchmark. JEL Classification: E41, E52, E58

Suggested Citation

  • Brand, Claus & Reimers, Hans-Eggert & Seitz, Franz, 2003. "Forecasting real GDP: what role for narrow money?," Working Paper Series 254, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2003254
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    Cited by:

    1. Drechsel, Katja & Scheufele, Rolf, 2010. "Should We Trust in Leading Indicators? Evidence from the Recent Recession," IWH Discussion Papers 10/2010, Halle Institute for Economic Research (IWH).
    2. Berlemann, Michael & Vogt, Gerit, 2007. "Kurzfristige Wachstumseffekte von Naturkatastrophen," Working Paper 69/2007, Helmut Schmidt University, Hamburg.
    3. Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017. "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, vol. 33(4), pages 745-759.
    4. Jones, Barry E. & Stracca, Livio, 2006. "Are money and consumption additively separable in the euro area? A non-parametric approach," Working Paper Series 704, European Central Bank.
    5. Jens Boysen‐Hogrefe, 2015. "Monetary Aggregates to Improve Early Output Gap Estimates in the Euro Area: An Empirical Assessment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 533-542, November.
    6. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
    7. Gerling, Kerstin & Gruner, Hans Peter & Kiel, Alexandra & Schulte, Elisabeth, 2005. "Information acquisition and decision making in committees: A survey," European Journal of Political Economy, Elsevier, vol. 21(3), pages 563-597, September.
    8. Łyziak, Tomasz, 2003. "Consumer inflation expectations in Poland," Working Paper Series 287, European Central Bank.
    9. Jens Boysen-Hogrefe, 2012. "A note on predicting recessions in the euro area using real M1," Economics Bulletin, AccessEcon, vol. 32(2), pages 1291-1301.
    10. Daniel Grenouilleau, 2004. "A sorted leading indicators dynamic (SLID) factor model for short-run euro-area GDP forecasting," European Economy - Economic Papers 2008 - 2015 219, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    11. Jens Richard Clausen & Carsten-Patrick Meier, 2005. "Did the Bundesbank Follow a Taylor Rule? An Analysis Based on Real-Time Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(II), pages 213-246, June.
    12. Heimonen, Kari, 2010. "Money and equity returns in the Euro area," Global Finance Journal, Elsevier, vol. 21(2), pages 152-169.
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    More about this item

    Keywords

    business cycle; forecast comparison; money; VAR models;

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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