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The Time-Varying Performance of the Long-Run Demand for Money in the United States

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  • Hondroyiannis, George
  • Swamy, P A V B
  • Tavlas, George S

Abstract

This article investigates the issues of the stability and predictability and interest-sensitivity of money demand over 1870-1997. Two different estimation methodologies are used--random coefficient (RC) modeling and vector error correction (VEC) modeling. The former procedure allows the profiles of the coefficients to be traced over time and relaxes several restrictions routinely imposed in applied work. The results indicate that different estimation methodologies using different data periods and frequencies yield estimates of some of the coefficients of the long-run demand for money that fall within a fairly narrow range. The results also suggest that specification errors have had an important influence on the time profile of the interest elasticity of money demand and that there is a tendency for the interest elasticity to decline in absolute value as interest rates decline. Copyright 2001 by Oxford University Press.

Suggested Citation

  • Hondroyiannis, George & Swamy, P A V B & Tavlas, George S, 2001. "The Time-Varying Performance of the Long-Run Demand for Money in the United States," Economic Inquiry, Western Economic Association International, vol. 39(1), pages 111-123, January.
    • Handle: RePEc:oup:ecinqu:v:39:y:2001:i:1:p:111-23
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    Cited by:

    1. George Hondroyiannis & Sophia Lazaretou, 2007. "Inflation persistence during periods of structural change: an assessment using Greek data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(5), pages 453-475, December.
    2. Hondroyiannis, George & Swamy, P. A. V. B. & Tavlas, George S., 2001. "Modelling the long-run demand for money in the United Kingdom: a random coefficient analysis," Economic Modelling, Elsevier, vol. 18(3), pages 475-501, August.
    3. Chien-Chiang Lee & An-Hsing Chang, 2013. "Revisiting the demand for money function: evidence from the random coefficients approach," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1491-1502, September.
    4. James, Gregory A., 2005. "Money demand and financial liberalization in Indonesia," Journal of Asian Economics, Elsevier, vol. 16(5), pages 817-829, October.

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