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Stability of money demand in Switzerland: A comparison of the M2 and M3 cases

Author

Listed:
  • Michel Peytrignet

    () (Swiss National Bank, PO Box, CH-8022 Zurich, Switzerland)

  • Christof Stahel

    () (Swiss National Bank, PO Box, CH-8022 Zurich, Switzerland)

Abstract

Long-run parameters of money demand functions for Switzerland's M2 and M3 aggregate are estimated and their stability investigated. For both aggregates a single stable cointegrating vector is found. Around these long-run relationships a single-equation model for m2 and a single-equation model for cpi is built respectively for M2 and M3, and both estimated models are found to be stable. Testing forecast performance, the cpi model seems to be superior to the m2 model, providing some positive signs that the M3 model is stable in the sense that it does not suffer from a structural break during the period of estimation.

Suggested Citation

  • Michel Peytrignet & Christof Stahel, 1998. "Stability of money demand in Switzerland: A comparison of the M2 and M3 cases," Empirical Economics, Springer, vol. 23(3), pages 437-454.
  • Handle: RePEc:spr:empeco:v:23:y:1998:i:3:p:437-454
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Matei Demetrescu & Helmut Lütkepohl & Pentti Saikkonen, 2009. "Testing for the cointegrating rank of a vector autoregressive process with uncertain deterministic trend term," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 414-435, November.
    2. Katrin Assenmacher-Wesche, 2008. "Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June.
    3. Rich, Georg, 2003. "Swiss monetary policy targeting 1974-1996: the role of internal policy analysis," Working Paper Series 236, European Central Bank.
    4. Budina, Nina & Maliszewski, Wojciech & de Menil, Georges & Turlea, Geomina, 2006. "Money, inflation and output in Romania, 1992-2000," Journal of International Money and Finance, Elsevier, vol. 25(2), pages 330-347, March.
    5. Gebhard Kirchgässner & Jürgen Wolters, 2010. "The Role of Monetary Aggregates in the Policy Analysis of the Swiss National Bank," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 221-253, March.
    6. Amir Kia, 2001. "Interest-free and Interest-bearing Money Demand: Policy Invariance and Stability," Emory Economics 0107, Department of Economics, Emory University (Atlanta).
    7. Fischer, Andreas M., 2007. "Measuring income elasticity for Swiss money demand: What do the cantons say about financial innovation?," European Economic Review, Elsevier, vol. 51(7), pages 1641-1660, October.
    8. International Monetary Fund, 1999. "Switzerland; Selected Issues and Statistical Appendix," IMF Staff Country Reports 99/30, International Monetary Fund.
    9. Martin Melecký, 2002. "Analýza diskrepancí v poptávce po penìzích domácností a firem v ÈR 1994-2000 (èást I: domácnosti)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 52(7-8), pages 428-449, July.
    10. Ernst Baltensperger & Thomas Jordan & Marcel Savioz, 2001. "The demand for M3 and inflation forecasts: An empirical analysis for Switzerland," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 137(2), pages 244-272, June.

    More about this item

    Keywords

    Demand for Money · cointegration · sequential reduction;

    JEL classification:

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