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Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation


  • Choi-Meng Leong
  • Chin-Hong Puah
  • Shazali Abu Mansor
  • Evan Lau

    (The authors are at the Department of Economics, Faculty of Economics and Business Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia. The corresponding author is Evan Lau; e-mail: or


The capability of monetary aggregates to generate stable links with fundamental economic indicators verifies the effectiveness of monetary targeting. However, traditional monetary aggregates become flawed when financial reforms take place. As official monetary aggregates fail to maintain stable links with crucial economic indicators in Malaysia, monetary targeting has been substituted by interest rate targeting. Therefore, Divisia monetary aggregates, which are considered superior to their simple-sum counterparts are used in the investigation for Malaysia. The findings imply that Divisia M2 money demand is stable and capable of generating appropriate coefficients with correct signs for the variables included. Thus, Divisia money has shed new light on the usefulness of monetary targeting in formulating monetary policy in Malaysia.

Suggested Citation

  • Choi-Meng Leong & Chin-Hong Puah & Shazali Abu Mansor & Evan Lau, 2010. "Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(3), pages 321-338, August.
  • Handle: RePEc:sae:mareco:v:4:y:2010:i:3:p:321-338

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    References listed on IDEAS

    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. 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.
    3. Yu, Qiao & Tsui, Albert K., 2000. "Monetary services and money demand in China," China Economic Review, Elsevier, vol. 11(2), pages 134-148, December.
    4. Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
    5. J. M. Binner & R. K. Bissoondeeal & A. W. Mullineux, 2005. "A composite leading indicator of the inflation cycle for the Euro area," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1257-1266.
    6. James Hueng, C., 1998. "The demand for money in an open economy: Some evidence for Canada," The North American Journal of Economics and Finance, Elsevier, vol. 9(1), pages 15-31.
    7. Wu, Chung-Shu & Lin, Jin-Lung & Tiao, George C. & Cho, David D., 2005. "Is money demand in Taiwan stable?," Economic Modelling, Elsevier, vol. 22(2), pages 327-346, March.
    8. Klein, Benjamin, 1974. "Competitive Interest Payments on Bank Deposits and the Long-Run Demand for Money," American Economic Review, American Economic Association, vol. 64(6), pages 931-949, December.
    9. Arize, A. C. & Malindretos, John & Grivoyannis, Elias C., 2005. "Inflation-rate volatility and money demand: Evidence from less developed countries," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 57-80.
    10. Belongia, Michael T, 1996. "Measurement Matters: Recent Results from Monetary Economics Reexamined," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1065-1083, October.
    11. Mansor Ibrhim, 2001. "Financial Factors and the Empirical Behavior of Money Demand: A Case Study of Malaysia," International Economic Journal, Taylor & Francis Journals, vol. 15(3), pages 55-72.
    12. Spencer, Peter, 1997. "Monetary integration and currency substitution in the EMS: The case for a European monetary aggregate," European Economic Review, Elsevier, vol. 41(7), pages 1403-1419, July.
    13. Leigh Drake & Adrian Fleissig, 2004. "Admissible Monetary Aggregates and UK Inflation Targeting," Money Macro and Finance (MMF) Research Group Conference 2004 2, Money Macro and Finance Research Group.
    14. Dahalan, Jauhari & Sharma, Subhash C. & Sylwester, Kevin, 2005. "Divisia monetary aggregates and money demand for Malaysia," Journal of Asian Economics, Elsevier, vol. 15(6), pages 1137-1153, January.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Barnett, William A., 1978. "The user cost of money," Economics Letters, Elsevier, vol. 1(2), pages 145-149.
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    Cited by:

    1. Chin-Hong, Puah & Lee-Chea, Hiew, 2010. "Financial Liberalization, Weighted Monetary Aggregates and Money Demand in Indonesia," MPRA Paper 31731, University Library of Munich, Germany.
    2. Tang, Maggie May-Jean, 2016. "A Review of the Literature on Monetary Neutrality," MPRA Paper 70113, University Library of Munich, Germany.
    3. Kuek, Tai Hock, 2016. "A Review of Literature on Monetary Neutrality - The case of India," MPRA Paper 71962, University Library of Munich, Germany, revised 13 Jun 2016.
    4. Hiew, Lee-Chea & Puah, Chin-Hong & Habibullah, Muzafar Shah, 2013. "The Role of Advertising Expenditure in Measuring Indonesia’s Money Demand Function," MPRA Paper 50223, University Library of Munich, Germany.
    5. Wong, Soon-Ming & Loi, Siew-Ling, 2016. "Money Influence on Real Economy Activity: Evidences Review on Japanese Context," MPRA Paper 73559, University Library of Munich, Germany.

    More about this item


    Divisia Money; Money Demand; Error-Correction Model; JEL Classifications: C22; JEL Classifications: C43; JEL Classifications: E41;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • 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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