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An Empirical Test of Money Demand in Thailand from 1993 to 2012

Author

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  • Jiranyakul, Komain
  • Opiela, Timothy

Abstract

The present study uses the most recent time series data obtained from the Bank of Thailand during the first quarter of 1993 and the fourth quarter of 2012 to investigate the long-run relationship between M1, M2, and M3 money demands and the two determinants (real GDP and interest rate). We use the model specification of Stock and Watson (1993) and Ball (2001). Our estimation techniques include Johansen cointegration test and the dynamic ordinary least squares (DOLS). We find that the DOLS procedure is not applicable for our data set. However, our results from Johansen cointegration test reveal that there is only a long-run relationship between M1 money demand, real GDP and interest rate. In the short run, only a change in real GDP affects M1 money holding. The instability of M1 money demand function makes it difficult for monetary authority to pursuit meaningful conducts of monetary policy.

Suggested Citation

  • Jiranyakul, Komain & Opiela, Timothy, 2014. "An Empirical Test of Money Demand in Thailand from 1993 to 2012," MPRA Paper 54162, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:54162
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    File URL: https://mpra.ub.uni-muenchen.de/54162/1/MPRA_paper_54162.pdf
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    References listed on IDEAS

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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. William A. Barnett & Douglas Fisher & Apostolos Serletis, 2006. "Consumer Theory and the Demand for Money," World Scientific Book Chapters,in: Money And The Economy, chapter 1, pages 3-43 World Scientific Publishing Co. Pte. Ltd..
    3. Takeshi Inoue & Shigeyuki Hamori, 2009. "An Empirical Analysis of the Money Demand Function in India," Economics Bulletin, AccessEcon, vol. 29(2), pages 1224-1245.
    4. Lutkepohl, Helmut & Terasvirta, Timo & Wolters, Jurgen, 1999. "Investigating Stability and Linearity of a German M1 Money Demand Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 511-525, Sept.-Oct.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. Ball, Laurence, 2001. "Another look at long-run money demand," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 31-44, February.
    7. S. Mahendra Dev, 2008. "India," Chapters,in: Handbook on the South Asian Economies, chapter 1 Edward Elgar Publishing.
    8. Ralph Setzer & Guntram Wolff, 2013. "Money demand in the euro area: new insights from disaggregated data," International Economics and Economic Policy, Springer, vol. 10(2), pages 297-315, June.
    9. Stephen M. Goldfeld, 1976. "The Case of the Missing Money," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 7(3), pages 683-740.
    10. Roberto Golinelli & Sergio Pastorello, 2002. "Modelling the demand for M3 in the Euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 371-401.
    11. Stephen M. Goldfeld, 1973. "The Demand for Money Revisited," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 4(3), pages 577-646.
    12. Jawadi, Fredj & Sousa, Ricardo M., 2013. "Money demand in the euro area, the US and the UK: Assessing the role of nonlinearity," Economic Modelling, Elsevier, vol. 32(C), pages 507-515.
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    More about this item

    Keywords

    Money Demand; Real Income; Interest Rate; Cointegration; Dynamic OLS;

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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