IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/19778.html
   My bibliography  Save this paper

Is inflation always a monetary phenomenon in Malaysia?

Author

Listed:
  • Tang, Chor Foon

Abstract

The purpose of this study is to empirically re-investigate the money-prices nexus for Malaysia through the cointegration and causality techniques. This study covered the monthly data from 1971:01 to 2008:03. The Johansen cointegration test suggests that the variables are cointegrated. Furthermore, the MWALD test shows a unidirectional causal relationship run from money supply (M2) to aggregate prices, meaning that only the monetarist’s view exist in the Malaysian economy. However, the time-varying causality tests indicate that inflation is not always a monetary phenomenon in Malaysia. Therefore, the contractionary monetary policy may not an effective instrument in managing inflationary behaviour in Malaysia.

Suggested Citation

  • Tang, Chor Foon, 2008. "Is inflation always a monetary phenomenon in Malaysia?," MPRA Paper 19778, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:19778
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/19778/1/MPRA_paper_19778.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Victor Pinga & Gerald Nelson, 2001. "Money, prices and causality: monetarist versus structuralist explanations using pooled country evidence," Applied Economics, Taylor & Francis Journals, vol. 33(10), pages 1271-1281.
    2. Junsoo Lee & Mark C. Strazicich, 2013. "Minimum LM unit root test with one structural break," Economics Bulletin, AccessEcon, vol. 33(4), pages 2483-2492.
    3. 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.
    4. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    5. Sen, Amit, 2003. "On Unit-Root Tests When the Alternative Is a Trend-Break Stationary Process," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 174-184, January.
    6. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    7. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    8. Junsoo Lee & Mark C. Strazicich, 2001. "Break Point Estimation and Spurious Rejections With Endogenous Unit Root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(5), pages 535-558, December.
    9. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    10. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    11. Zapata, Hector O & Rambaldi, Alicia N, 1997. "Monte Carlo Evidence on Cointegration and Causation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(2), pages 285-298, May.
    12. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. Hooker, Mark A., 1993. "Testing for cointegration : Power versus frequency of observation," Economics Letters, Elsevier, vol. 41(4), pages 359-362.
    15. Tan Hui Boon & Baharumshah Ahmad Zubaidi, 1999. "Dynamic Causal Chain of Money, Output, Interest Rate and Prices in Malaysia: Evidence Based On Vector Error- Correction Modelling Analysis," International Economic Journal, Taylor & Francis Journals, vol. 13(1), pages 103-120.
    16. Chor Foon Tang, 2008. "Wagner’s Law versus Keynesian Hypothesis: New Evidence from Recursive Regression-Based Causality Approaches," The IUP Journal of Public Finance, IUP Publications, vol. 0(4), pages 29-38, November.
    17. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    18. Richard C. K. Burdekin & Marc D. Weidenmier, 2001. "Inflation Is Always and Everywhere a Monetary Phenomenon: Richmond vs. Houston in 1864," American Economic Review, American Economic Association, vol. 91(5), pages 1621-1630, December.
    19. He, Zonglu & Maekawa, Koichi, 2001. "On spurious Granger causality," Economics Letters, Elsevier, vol. 73(3), pages 307-313, December.
    20. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    21. repec:bla:obuest:v:63:y:2001:i:5:p:535-58 is not listed on IDEAS
    22. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    23. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    24. Lee, Tae-Hwy & White, Halbert & Granger, Clive W. J., 1993. "Testing for neglected nonlinearity in time series models : A comparison of neural network methods and alternative tests," Journal of Econometrics, Elsevier, vol. 56(3), pages 269-290, April.
    25. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    26. Abul M.M. Masih & Rumi Masih, 1998. "Does money cause prices, or the other way around?: Multi-country econometric evidence including error-correction modelling from South-east Asia," Journal of Economic Studies, Emerald Group Publishing, vol. 25(3), pages 138-160, September.
    27. Roger Perman, 1991. "Cointegration: An Introduction to the Literature," Journal of Economic Studies, Emerald Group Publishing, vol. 18(3), pages 3-30, September.
    28. Gonzalo, Jesus & Lee, Tae-Hwy, 1998. "Pitfalls in testing for long run relationships," Journal of Econometrics, Elsevier, vol. 86(1), pages 129-154, June.
    29. Turnovsky, Stephen J & Wohar, Mark E, 1984. "Monetarism and the Aggregate Economy: Some Longer-Run Evidence," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 619-629, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dr. Burhan Othman Hussein, 2018. "The Time Change of the Consumer Price Index Response to the Changes That Occur in the Supply of Money in the Iraqi Economy," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 7-10:4.
    2. Ditimi Amassoma & Sunday Keji & Emma-Ebere Onyedikachi O., 2017. "The Upshot of Money Supply and Inflation in Nigeria," Valahian Journal of Economic Studies, Sciendo, vol. 8(2), pages 75-90, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chor Foon Tang & Ilhan Ozturk, 2017. "Can Inflation be Claimed as a Monetary Phenomenon? The Malaysian Experience," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 453-460.
    2. Tang, Chor Foon, 2010. "Savings-led growth theories: A time series analysis for Malaysia using the bootstrapping and time-varying causality techniques," MPRA Paper 27299, University Library of Munich, Germany.
    3. Chor Foon Tang, 2015. "How Stable is the Savings-led Growth Hypothesis in Malaysia? The Bootstrap Simulation and Recursive Causality Tests," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 9(1), pages 1-17, February.
    4. Chor Foon Tang and Eu Chye Tan, 2012. "Electricity Consumption and Economic Growth in Portugal: Evidence from a Multivariate Framework Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    6. Tang, Chor Foon, 2011. "Tourism, real output and real effective exchange rate in Malaysia: a view from rolling sub-samples," MPRA Paper 29379, University Library of Munich, Germany.
    7. Mai, Nhat Chi, 2014. "Monetary transmission mechanism analysis in a small, open economy: the case of Vietnam," OSF Preprints ybc8p, Center for Open Science.
    8. Leiva, Benjamin & Liu, Zhongyuan, 2019. "Energy and economic growth in the USA two decades later: Replication and reanalysis," Energy Economics, Elsevier, vol. 82(C), pages 89-99.
    9. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    10. Bashiri Behmiri, Niaz & Pires Manso, José R., 2012. "Does Portuguese economy support crude oil conservation hypothesis?," Energy Policy, Elsevier, vol. 45(C), pages 628-634.
    11. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, April.
    12. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.
    13. Gaolu Zou & Kwong Wing Chau, 2020. "Effects of International Crude Oil Prices on Energy Consumption in China," Energies, MDPI, vol. 13(15), pages 1-17, July.
    14. Pourazarm, Elham & Cooray, Arusha, 2013. "Estimating and forecasting residential electricity demand in Iran," Economic Modelling, Elsevier, vol. 35(C), pages 546-558.
    15. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    16. Paresh Kumar Narayan & Stephan Popp, 2010. "A new unit root test with two structural breaks in level and slope at unknown time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1425-1438.
    17. Tang, Chor-Foon & Lau, Evan, 2011. "The Behaviour of Disaggregated Public Expenditures and Income in Malaysia," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 7(1-2), pages 1-13, March.
    18. Sandy Suardi, 2010. "Nonstationarity, cointegration and structural breaks in the Australian term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 42(22), pages 2865-2879.
    19. Benjamin Leiva & Mar Rubio-Varas, 2020. "The Energy and Gross Domestic Product Causality Nexus in Latin America 1900-2010," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 423-435.
    20. Tang, Chor Foon, 2010. "The determinants of health expenditure in Malaysia: A time series analysis," MPRA Paper 24356, University Library of Munich, Germany.

    More about this item

    Keywords

    Inflation; Money; MWALD test; Recursive regression; Rolling regression;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:19778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.