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Dynamic OLS estimation of the U.S. import demand for Mexican crude oil

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  • Camacho-Gutiérrez, Pablo

Abstract

This paper estimates the U.S. import demand for crude oil from Mexico. The analysis is based on time series from January 1990 to December 2010. Time series properties of the processes that generate the data are assessed in order to specify the order of integration for each series. According to results from unit root tests, all the series under study are unit root non-stationary. The paper then estimates the cointegrating import demand regression using Dynamic OLS procedure. Residuals from the DOLS cointegrating regression are tested and found to be stationary; thus, the cointegrating regression is not spurious. According to estimation results, U.S. import demand for Mexican crude oil is income inelastic, perfect price inelastic, and responsive to changes in both U.S. stock of oil (excluding SPR) and unemployment rate in the U.S. Also, this paper points to the estimate bias from omitting relevant variables as it is common in the mainstream literature on crude oil import demand.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 30608.

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Date of creation: Mar 2010
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Handle: RePEc:pra:mprapa:30608

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Keywords: Crude Oil Demand; Unit Root; Dynamic OLS.;

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  1. Abdelhak Senhadji, 1998. "Time-Series Estimation of Structural Import Demand Equations: A Cross-Country Analysis," IMF Staff Papers, Palgrave Macmillan, vol. 45(2), pages 236-268, June.
  2. Thursby, Jerry G & Thursby, Marie C, 1984. "How Reliable Are Simple, Single Equation Specifications of Import Demand?," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 120-28, February.
  3. Carone, Giuseppe, 1996. "Modeling the U.S. demand for imports through cointegration and error correction," Journal of Policy Modeling, Elsevier, vol. 18(1), pages 1-48, February.
  4. Ziramba, Emmanuel, 2010. "Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis," Energy Policy, Elsevier, vol. 38(12), pages 7844-7849, December.
  5. Ghosh, Sajal, 2009. "Import demand of crude oil and economic growth: Evidence from India," Energy Policy, Elsevier, vol. 37(2), pages 699-702, February.
  6. Melo, Oscar & Vogt, Michael G., 1984. "Determinants of the demand for imports of Venezuela," Journal of Development Economics, Elsevier, vol. 14(3), pages 351-358, April.
  7. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
  8. Frank W. Agbola & Maylene Y. Damoense, 2005. "Time-series estimation of import demand functions for pulses in India," Journal of Economic Studies, Emerald Group Publishing, vol. 32(2), pages 146-157, May.
  9. Zhao, Xingjun & Wu, Yanrui, 2007. "Determinants of China's energy imports: An empirical analysis," Energy Policy, Elsevier, vol. 35(8), pages 4235-4246, August.
  10. Uri, Noel D. & Boyd, Roy, 1988. "Crude oil imports into the United States," Applied Energy, Elsevier, vol. 31(2), pages 101-118.
  11. Masih, Rumi & Masih, Abul M. M., 1996. "Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long- and short-run elasticities in a demand function: new evidence and methodological implications from an appl," Energy Economics, Elsevier, vol. 18(4), pages 315-334, October.
  12. James G. MacKinnon, 1995. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Working Papers 918, Queen's University, Department of Economics.
  13. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
  14. Choi, Chi-Young & Hu, Ling & Ogaki, Masao, 2008. "Robust estimation for structural spurious regressions and a Hausman-type cointegration test," Journal of Econometrics, Elsevier, vol. 142(1), pages 327-351, January.
  15. Dipendra Sinha, 1997. "Determinants of Import Demand in Thailand," International Economic Journal, Taylor & Francis Journals, vol. 11(4), pages 73-873.
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