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The Impact of International Oil Prices on Industrial Production: The Case of Thailand

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  • Jiranyakul, Komain

Abstract

This paper analyzes the impact of international oil prices on Thailand’s industrial production using Johansen cointegration test. The results show that U.S. dollar real exchange rate does not affect the economy’s industrial production index, while oil prices, and real money supply significantly impose a positive impact on the index. The positive relationship between industrial production index and oil prices indicates that the manufacturing sector can adjust itself to higher costs of production in the long run. In the short run, industrial production are affected by real money supply, real exchange rate and international oil prices. However, any deviation from a stationary long-run equilibrium in the short run will be corrected in a short period of time.

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File URL: http://mpra.ub.uni-muenchen.de/47035/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 47035.

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Date of creation: Dec 2006
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Publication status: Published in NIDA Economic Review 2.1(2006): pp. 35-42
Handle: RePEc:pra:mprapa:47035

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Keywords: Industrial production ; oil prices; VAR; Cointegration;

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  1. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  2. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-97, August.
  3. 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 1057-72, June.
  4. 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.
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Cited by:
  1. Eleftherios Giovanis, 2010. "Application of logit model and self-organizing maps (SOMs) for the prediction of financial crisis periods in US economy," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 2(2), pages 98-125, June.
  2. Yýlmaz BAYAR & Cuneyt KILIC, 2014. "Effects of Oil and Natural Gas Prices on Industrial Production in the Eurozone Member Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 238-247.

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