IDEAS home Printed from https://ideas.repec.org/p/bsl/wpaper/2005-07.html
   My bibliography  Save this paper

Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area

Author

Listed:
  • Kaufmann, Sylvia

    () (University of Basel)

  • Kugler, Peter

    () (University of Basel)

Abstract

This paper analyzes the recently documented instability of money demand in the euro area in the framework of a Markov switching trend model. First, we consider a standard °exible price model with stable money demand, rational expectations, and an exogenous income-money ratio which follows a Markov trend. This framework, which implies an in°uence of expected future money on prices, leads to a cointe- grating relationship between (log) prices and the (log of the) money-income ratio with a switching intercept term. Of course, this likely leads to a rejection of coin- tegration by standard tests and to the erroneous conclusion of an unstable money demand. Second, a more general model allowing for endogeneity and more general dynamics is estimated with Bayesian methods for euro area data from 1975-2003. This exercise provides support for our model and a stable demand for M3 in the euro area.

Suggested Citation

  • Kaufmann, Sylvia & Kugler, Peter, 2005. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working papers 2005/07, Faculty of Business and Economics - University of Basel.
  • Handle: RePEc:bsl:wpaper:2005/07
    as

    Download full text from publisher

    File URL: https://edoc.unibas.ch/61460/1/20180307114758_5a9fc35ef133e.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Paap, Richard & van Dijk, Herman K, 2003. "Bayes Estimates of Markov Trends in Possibly Cointegrated Series: An Application to U.S. Consumption and Income," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 547-563, October.
    2. Albert, James H & Chib, Siddhartha, 1993. "Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 1-15, January.
    3. Sarno, Lucio & Taylor, Mark P & Peel, David A, 2003. " Nonlinear Equilibrium Correction in U.S. Real Money Balances, 1869-1997," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 787-799, October.
    4. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1997. "Cointegration and Changes in Regime: The Japanese Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 151-168, March-Apr.
    5. Kugler, Peter, 1996. "The term structure of interest rates and regime shifts: Some empirical results," Economics Letters, Elsevier, vol. 50(1), pages 121-126, January.
    6. Kleibergen, Frank & Paap, Richard, 2002. "Priors, posteriors and bayes factors for a Bayesian analysis of cointegration," Journal of Econometrics, Elsevier, vol. 111(2), pages 223-249, December.
    7. Carstensen, Kai, 2004. "Is European Money Demand Still Stable?," Kiel Working Papers 1179, Kiel Institute for the World Economy (IfW).
    8. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    9. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    10. Bruggeman, Annick & Donati, Paola & Warne, Anders, 2003. "Is the demand for euro area M3 stable?," Working Paper Series 255, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Bayesian cointegration analysis; Markov trend; Markov chain Monte Carlo; money demand.;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bsl:wpaper:2005/07. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (WWZ). General contact details of provider: http://edirc.repec.org/data/wwzbsch.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.