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

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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 flexible price model with stable money demand, rational expectations, and an exogenous income-money ratio which follows a Markov trend. This framework, which implies an influence of expected future money on prices, leads to a cointegrating 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 cointegration 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.

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Paper provided by Oesterreichische Nationalbank (Austrian Central Bank) in its series Working Papers with number 131.

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Length: 24
Date of creation: 15 Sep 2006
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Handle: RePEc:onb:oenbwp:131

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

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  1. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  2. Paap, R. & van Dijk, H.K., 2002. "Bayes estimates of Markov trends in possibly cointegrated series: an application to US consumption and income," Econometric Institute Research Papers EI 2002-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  3. Richard Paap & Frank Kleibergen, 2004. "Generalized Reduced Rank Tests using the Singular Value Decomposition," Econometric Society 2004 Australasian Meetings 195, Econometric Society.
  4. Kleibergen, F.R. & Paap, R., 1998. "Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration," Econometric Institute Research Papers EI 9821, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  5. 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.
  6. 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.
  7. 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.
  8. Sylvia Kaufmann & Peter Kugler, 2008. "Does Money Matter For Inflation In The Euro Area?," Contemporary Economic Policy, Western Economic Association International, vol. 26(4), pages 590-606, October.
  9. 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 151-68, March-Apr.
  10. Warne, Anders & Bruggeman, Annick & Donati, Paola, 2003. "Is the demand for euro area M3 stable?," Working Paper Series 0255, European Central Bank.
  11. Kai Carstensen, 2003. "Is European Money Demand Still Stable?," Kiel Working Papers 1179, Kiel Institute for the World Economy.
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