Inflation in Malaysia

Authors

  • Wong Hock Tsen School of Business and Economics Universiti Malaysia Sabah, Malaysia

DOI:

https://doi.org/10.32890/ijms2010.17.2.4

Keywords:

Inflation, Malaysia, cointegration, generalised forecast error variance decomposition, generalised impulse response function

Abstract

This study examines the determination of inflation in Malaysia. The results of the generalised forecast error variance decomposition show that real import price change is the most important factor in the determination of inflation. The impact of real oil price change on inflation is marginal. An increase in real oil price has a more significant impact on inflation than a decrease in real oil price. The results of the generalised impulse response function show the impact of variables examined on inflation is relatively short. There is evidence that real oil price change Granger causes inflation.

 

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References

Ang, J. B. (2008). What are the mechanism linking financial development and economic growth in Malaysia? Economic Modelling, 25(1), 38–53.

Bahmani-Oskooee, M., & Rehman, H. (2005). Stability of the money demand function in Asian developing countries. Applied Economics, 37, 773–792.

Baltagi, B. H., Demetriades, P.O., & Law, S. H. (2009). Financial development and openness: Evidence from panel data. Journal of Development Economics, 89(2), 285–296.

Bank Negara Malaysia (1999). The central bank and the financial system in Malaysia: A decade of change 1989–1999. Kuala Lumpur: Bank Negara Malaysia.

Chang Y., & Wong, J. F. (2003). Oil price fluctuations and Singapore economy. Energy Policy, 31, 1151–1165.

Cheng, M. Y., & Tan, H. B. (2002). Inflation in Malaysia. International Journal of Social Economics, 29(5), 411–425. 102 IJMS 17 (2), 73–104 (2010)

Cologni, A., & Manera, M. (2008). Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries. Energy Economics, 30(3), 856–888.

Cunado, J., & De Gracia, F. P. (2005). Oil prices, economic activity and inflation: Evidence for some Asian countries. The Quarterly Review of Economics and Finance, 45, 65–83. http://ijms.uum.edu.my

Daniels, J. P., & VanHoose, D. D. (2005). International monetary and financial economics (3rd ed.). Mason, Ohio: Thomson: South-Western.

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427–431.

Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64, 813–836.

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.

Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross spectral models. Econometrica, 37, 424–438.

Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254.

King, R., & Levine, R. (1993). Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics, 108(3), 717–737.

Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74, 119–147.

Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationary against the alternative of a unit root. Journal of Econometrics, 54, 159–178.

Levine, R. (1997). Financial development and economic growth: Views and agenda. Journal of Economic Literature, 35(2), 688–726.

Linnemann, L. (2005). Can raising interest rates increase inflation? Economics letters, 87, 307–311.

MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601–618.

Mansor, H. I. (2003). International disturbances and domestic macroeconomic fluctuations in Malaysia. ASEAN Economic Bulletin, 20(1), 11–30. Ministry of Finance Malaysia (MOF) (1999). Economic report 1999/2000. Kuala Lumpur: Print Nasional Malaysia Berhad. Ministry of Finance Malaysia (MOF) (2006). Economic report 2006/2007. Kuala Lumpur: Print Nasional Malaysia Berhad. IJMS 17 (2), 73–104 (2010) 103

Mork, K. (1989). Oil and the macroeconomy when prices go up and down: An extension of Hamilton’s results. Journal of Political Economy, 97, 740–744.

Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519–1554. http://ijms.uum.edu.my

O’Neill, T. J., Penm, J., & Terrell, R. D. (2008). The role of higher oil prices: A case of major developed countries. Research in Finance, 24, 287–299.

Pesaran, H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58, 17–29.

Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.

Rajan, R. G., & Zingales, L. (2003). The great reversals: The politics of financial development in the 20th century. Journal of Financial Economics, 69, 5–50.

Romer, D. (2001). Advanced macroeconomics (2nd ed.). Singapore: McGraw-Hill.

Sims, C. (1980). Macroeconomics and reality. Econometrica, 48, 1–48. 104 IJMS 17 (2), 73–104 (2010)

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Published

29-12-2010

Issue

Vol. 17 No. 2 (2010): International Journal of Management Studies (IJMS) Vol. 17, No.2 December 2010

Section

Articles

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Harvested 2026-09-24
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Identifiers DOI 10.32890/ijms2010.17.2.4

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