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Money demand in Europe: Evidence from the past

Author

Listed:
  • Müller, Christian
  • Hahn, Elke
Abstract
The conditions under which European monetary policy is likely to be conducted are investigated by means of multi-variate time series modelling using aggregated data of all eleven European Monetary Union member states. A cointegration analysis identifies two stable long-run relationships within a set of five key macroeconomic variables, one of which can be interpreted as a money demand function and a sec(md one as a long term real interest rate (Fisher parity). Our findings indicate that monetary authorities might well be able to base their policy on the existence of a money demand. Particular emphasis is given both to the data sources and their aggregation, by providing a transparent account of our calculation procedure, which is not yet common in the existing literature.

Suggested Citation

  • Müller, Christian & Hahn, Elke, 2000. "Money demand in Europe: Evidence from the past," SFB 373 Discussion Papers 2000,35, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  • Handle: RePEc:zbw:sfb373:200035
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    References listed on IDEAS

    as
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    2. Gabriel Fagan & JÊrÆme Henry, 1998. "Long run money demand in the EU: Evidence for area-wide aggregates," Empirical Economics, Springer, vol. 23(3), pages 483-506.
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    5. Bernd Hayo, 1999. "Estimating A European Demand For Money," Scottish Journal of Political Economy, Scottish Economic Society, vol. 46(3), pages 221-244, August.
    6. Gottschalk, Jan, 1999. "A cointegration analysis of a money demand system in Europe," Kiel Working Papers 902, Kiel Institute for the World Economy (IfW Kiel).
    7. Monticelli, Carlo & Strauss-Kahn, Marc-Olivier, 1993. "European Integration and the Demand for Broad Money," The Manchester School of Economic & Social Studies, University of Manchester, vol. 61(4), pages 345-366, December.
    8. Jeroen J. M. Kremers & Timothy D. Lane, 1990. "Economic and Monetary Integration and the Aggregate Demand for Money in the EMS," IMF Staff Papers, Palgrave Macmillan, vol. 37(4), pages 777-805, December.
    9. repec:bla:scotjp:v:46:y:1999:i:3:p:221-44 is not listed on IDEAS
    10. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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    12. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jan Gottschalk & Stéphanie Stolz, 2001. "The Link of the Monetary Indicator to Future Inflation in the Euro-Area: A Simulation Experiment," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 416-433.
    2. Gottschalk, Jan, 2001. "Measuring Expected Inflation and the Ex-Ante Real Interest Rate in the Euro Area Using Structural Vector Autoregressions," Kiel Working Papers 1067, Kiel Institute for the World Economy (IfW Kiel).
    3. Mr. Joaquim Vieira Ferreira Levy & Mr. Alessandro Calza & Mr. Dieter Gerdesmeier, 2001. "Euro Area Money Demand: Measuring the Opportunity Costs Appropriately," IMF Working Papers 2001/179, International Monetary Fund.
    4. Holtemöller, Oliver, 2002. "Money and prices: An I(2) analysis for the euro area," SFB 373 Discussion Papers 2002,12, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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    More about this item

    Keywords

    european money demand; monetary targeting; aggregation;
    All these keywords.

    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
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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