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A Small Monetary System for the Euro Area Based on German Data

  • Ralf Brueggemann
  • Helmut Luetkepohl

Previous euro area money demand studies have used aggregated national time series data from the countries participating in the European Monetary Union (EMU). However, aggregation may be problematic because macroeconomic convergence processes have taken place in the countries of interest. Therefore, in this study, quarterly German data until 1998 are combined with data from the euro area from 1999 until 2002 and these series are used for getting a small vector error correction model for the monetary sector of the EMU. A stable long-run money demand relation is found for the full sample period. Moreover, impulse responses do not change much when the sample period is extended by the EMU period provided the break in the extended data series is captured by a simple dummy variable.

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Paper provided by European University Institute in its series Economics Working Papers with number ECO2004/24.

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Date of creation: 2004
Date of revision:
Handle: RePEc:eui:euiwps:eco2004/24
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  1. 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.
  2. Kocenda, Evzen & Papell, David H, 1997. "Inflation Convergence within the European Union: A Panel Data Analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(3), pages 189-98, July.
  3. Benkwitz, Alexander & Lütkepohl, Helmut & Wolters, Jürgen, 1999. "Comparison of bootstrap confidence intervals for impulse responses of German monetary systems," SFB 373 Discussion Papers 1999,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  4. Saikkonen, Pentti & Lütkepohl, Helmut, 2001. "Testing for the cointegrating rank of a VAR process with structural shifts," SFB 373 Discussion Papers 1998,82, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  5. Kirstin Hubrich, 1999. "Estimation of a German money demand system - a long-run analysis," Empirical Economics, Springer, vol. 24(1), pages 77-99.
  6. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
  7. Bruggemann, Ralf & Lutkepohl, Helmut & Saikkonen, Pentti, 2006. "Residual autocorrelation testing for vector error correction models," Journal of Econometrics, Elsevier, vol. 134(2), pages 579-604, October.
  8. Imke Brüggemann, 2003. "Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach," German Economic Review, Verein für Socialpolitik, vol. 4, pages 307-339, 08.
  9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  10. repec:cup:macdyn:v:5:y:2001:i:1:p:81-100 is not listed on IDEAS
  11. Brand, Claus & Cassola, Nuno, 2000. "A money demand system for euro area M3," Working Paper Series 0039, European Central Bank.
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