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The Long Run Stability of Money Demand in the Proposed West African Monetary Union

Author

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  • Simplice A. Asongu

    (Yaoundé/Cameroon)

  • Oludele E. Folarin

    (University of Ibadan, Ibadan, Nigeria)

  • Nicholas Biekpe

    (University of Cape Town, Cape Town, South Africa)

Abstract

This study examines the stability of money demand in the proposed West African Monetary Union (WAMU). The study uses annual data for the period 1981 to 2015 from thirteen of the fifteen countries making-up the Economic Community of West African States (ECOWAS). A standard money demand function is designed and estimated using a bounds testing approach to co-integration and error-correction modeling. The findings show divergence across ECOWAS member states in the stability of money demand. This divergence is informed by differences in cointegration, stability, short run and long term determinants, and error correction in event of a shock.

Suggested Citation

  • Simplice A. Asongu & Oludele E. Folarin & Nicholas Biekpe, 2018. "The Long Run Stability of Money Demand in the Proposed West African Monetary Union," AFEA Working Papers 18/043, African Finance and Economic Association (AFEA).
    • Handle: RePEc:afe:wpaper:18/043
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    3. Simplice Asongu & Oludele Folarin & Nicholas Biekpe, 2019. "The stability of demand for money in the proposed Southern African Monetary Union," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 15(2), pages 222-244, August.
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    6. Peter Nsokolo Mumba & Emmanuel Ziramba, 2021. "An Analysis of the Money Demand Function for Zambia: A Gregory Hansen Cointegration Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 13(1), pages 1-12.

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    More about this item

    Keywords

    Stable; demand for money; bounds test;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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