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A Portofolio Balance Approach to Euro-Area Money Demand in a Time-Varying Environment

  • Stephen G.Hall

    (Leicester University and NIESR)

  • George Hondroyiannis

    (Bank of Greece)

  • P.A.V.B. Swamy

    (U.S. Bureau of Labor Statistics)

  • George S. Tavlas

    ()

    (Bank of Greece a)

As part of its monetary policy strategy, the European Central Bank has formulated a reference value for M3 growth. A pre-requisite for the use of a reference value for M3 growth is the existence of a stable demand function for that aggregate. However, a large empirical literature has emerged showing that, beginning in 2001, essentially all euro area M3 demand functions have exhibited instability. This paper considers euroarea money demand in the context of the portfolio-balance framework. Our basic premise is that there is a stable demand-for-money function but that the models that have been used until now to estimate euro area money-demand are not well-specified because they do not include a measure of wealth. Using two empirical methodologies - - a co-integrated vector equilibrium correction (VEC) approach and a time-varying coefficient (TVC) approach - - we find that a demand-for-money function that includes wealth is stable. The upshot of our findings is that M3 behaviour continues to provide useful information about medium-term developments on inflation.

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Paper provided by Bank of Greece in its series Working Papers with number 61.

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Length: 36 pages
Date of creation: Oct 2007
Date of revision:
Handle: RePEc:bog:wpaper:61
Contact details of provider: Web page: http://www.bankofgreece.gr

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  1. George S. Tavlas & P.A.V.B. Swamy, 2006. "The New Keynesian Phillips Curve and Inflation Expectations: Re-Specification and Interpretation," Working Papers 34, Bank of Greece.
  2. Mohammad Hashem Pesaran & Yongcheol Shin, 1999. "Long-Run Structural Modelling," ESE Discussion Papers 44, Edinburgh School of Economics, University of Edinburgh.
  3. Swamy, P A V B & Tavlas, George S, 1995. " Random Coefficient Models: Theory and Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 9(2), pages 165-96, June.
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  5. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
  6. P. Swamy & George Tavlas, 2005. "Theoretical conditions under which monetary policies are effective and practical obstacles to their verification," Economic Theory, Springer, vol. 25(4), pages 999-1005, 06.
  7. Friedman, Milton & Schwartz, Anna J, 1991. "Alternative Approaches to Analyzing Economic Data," American Economic Review, American Economic Association, vol. 81(1), pages 39-49, March.
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  9. Joaquim Vieira Ferreira Levy & Alessandro Calza & Dieter Gerdesmeier, 2001. "Euro Area Money Demand; Measuring the Opportunity Costs Appropriately," IMF Working Papers 01/179, International Monetary Fund.
  10. Johansen, Soren, 1995. "Identifying restrictions of linear equations with applications to simultaneous equations and cointegration," Journal of Econometrics, Elsevier, vol. 69(1), pages 111-132, September.
  11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  12. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
  13. David Cobham, 1996. "Causes and Effects of the European Monetary Crises of 1992-93," Journal of Common Market Studies, Wiley Blackwell, vol. 34(4), pages 585-604, December.
  14. Pratt, John W. & Schlaifer, Robert, 1988. "On the interpretation and observation of laws," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 23-52.
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