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Is the US demand for money unstable?

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  • B. Bhaskara Rao
  • Saten Kumar

Abstract

The demand for money (M1) for the US is estimated with annual data from 1960 to 2008 and its stability is analysed with the extended Gregory and Hansen (1996b) test. In addition to estimating the canonical specification, alternative specifications are estimated which include a trend and additional variables to proxy the cost of holding money. Results with our extended specification showed that there has been a structural change in 1998 and the constraint that income elasticity is unity could not be rejected by subsample estimates. Short run dynamic adjustment equations are estimated with the lagged residuals from the Fully Modified Ordinary Least Squares (FMOLS) estimates of cointegrating equation and also with the General to Specific (GETS) approach.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 21 (2011)
Issue (Month): 17 ()
Pages: 1263-1272

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Handle: RePEc:taf:apfiec:v:21:y:2011:i:17:p:1263-1272

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Keywords: demand for M1; US; structural breaks; income elasticity; cost of holding money;

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References

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  1. McNown, Robert & Wallace, Myles S., 1992. "Cointegration tests of a long-run relation between money demand and the effective exchange rate," Journal of International Money and Finance, Elsevier, vol. 11(1), pages 107-114, February.
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Citations

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Cited by:
  1. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working Papers 201419, University of Pretoria, Department of Economics.
  2. Kumar, Saten & Chowdhury, Mamta & Rao, B. Bhaskara, 2010. "Demand for Money in the Selected OECD Countries: A Time Series Panel Data Approach and Structural Breaks," MPRA Paper 22204, University Library of Munich, Germany.
  3. Mulligan, Robert F. & Koppl, Roger, 2011. "Monetary policy regimes in macroeconomic data: An application of fractal analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 201-211, May.
  4. Kumar, Saten & Pacheco, Gail, 2012. "What determines the long run growth rate in Kenya?," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 705-718.

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