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Monetary Conditions in the Euro Area: Useful Indicators of Aggregate Demand Conditions?

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  • Gottschalk, Jan

Abstract

This paper reviews the usefulness of monetary conditions in the euro area as leading indicators for aggregate demand conditions. Monetary conditions are measured with the MCI concept proposed by the Bank of Canada, and with the yield spread. A central result is that causality runs in both ways between monetary and aggregate demand conditions. The endogeneity of monetary conditions raises important implications for its role as a predictor of aggregate demand. It is shown that the information content of monetary conditions depends on the source of business cycle fluctuations and on the response of the central bank to those fluctuations.

Suggested Citation

  • Gottschalk, Jan, 2001. "Monetary Conditions in the Euro Area: Useful Indicators of Aggregate Demand Conditions?," Kiel Working Papers 1037, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:1037
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    File URL: https://www.econstor.eu/bitstream/10419/17732/1/kap1037.pdf
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    References listed on IDEAS

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    1. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    2. Richard H. Clarida & Jordi Gali, 1994. "Sources of real exchange rate fluctuations: how important are nominal shocks?," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
    3. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    4. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    5. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    6. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    7. Peeters, Marga, 1999. "Measuring monetary conditions in Europe: Use and limitations of the monetary conditions index," MPRA Paper 23534, University Library of Munich, Germany.
    8. van Bergeijk, Peter A. G. & Berk, Jan Marc, 2000. "Is the yield curve a useful Information variable for the Eurosystem?," Working Paper Series 11, European Central Bank.
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    Cited by:

    1. Wai Ching Poon, 2010. "Augmented MCi: AN Indicator Of Monetary Policy Stance For ASEAN-5?," Monash Economics Working Papers 25-10, Monash University, Department of Economics.
    2. Andrzej Toroj, 2008. "Estimation of weights for the Monetary Conditions Index in Poland," Working Papers 27, Department of Applied Econometrics, Warsaw School of Economics.
    3. Wai-Ching Poon, 2010. "A monetary policy rule: The augmented Monetary Conditions Index for Philippines using UECM and bounds tests," Monash Economics Working Papers 04-10, Monash University, Department of Economics.
    4. Torój, Andrzej, 2010. "Adjustment capacity in a monetary union: a DSGE evaluation of Poland and Slovakia," MF Working Papers 4, Ministry of Finance in Poland, revised 11 May 2010.
    5. Andrzej Toroj, 2011. "Competitiveness channel in Poland and Slovakia: a pre-EMU DSGE analysis," NBP Working Papers 86, Narodowy Bank Polski.

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    More about this item

    Keywords

    Monetary Conditions; MCI; Output Gap;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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