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A multivariate cointegration analysis of the role of energy in the US macroeconomy

  • Stern, David I.

This paper extends my previous analysis of the causal relationship of GDP and energy use in the USA in the post-war period to a cointegration analysis of that relationship. It is found that the majority of the relevant variables are integrated justifying a cointegration analysis. The results show that cointegration does occur and that energy input cannot be excluded from the cointegration space. The results are plausible in terms of macroeconomic dynamics. The results are similar to my previous Granger Causality results and contradict claims in the literature (based on bivariate models) that there is no cointegration between energy and output.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 22 (2000)
Issue (Month): 2 (April)
Pages: 267-283

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Handle: RePEc:eee:eneeco:v:22:y:2000:i:2:p:267-283
Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

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  1. John Burbidge & Alan Harrison, 1982. "Testing for the Effects of Oil-Price Rises Using Vector Autoregressions," School of Economics Working Papers 1982-01, University of Adelaide, School of Economics.
  2. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
  3. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-87, August.
  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.
  5. Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
  6. Stern, David I., 1993. "Energy and economic growth in the USA : A multivariate approach," Energy Economics, Elsevier, vol. 15(2), pages 137-150, April.
  7. Dale W. Jorgenson, 1984. "The Role of Energy in Productivity Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 11-26.
  8. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-52, September.
  9. Masih, Abul M. M. & Masih, Rumi, 1996. "Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques," Energy Economics, Elsevier, vol. 18(3), pages 165-183, July.
  10. Kaufmann, Robert K., 1994. "The relation between marginal product and price in US energy markets : Implications for climate change policy," Energy Economics, Elsevier, vol. 16(2), pages 145-158, April.
  11. Moroney, John R., 1992. "Energy, capital and technological change in the United States," Resources and Energy, Elsevier, vol. 14(4), pages 363-380, December.
  12. Yu, Eden S. H. & Jin, Jang C., 1992. "Cointegration tests of energy consumption, income, and employment," Resources and Energy, Elsevier, vol. 14(3), pages 259-266, September.
  13. Dolado, Juan J & Jenkinson, Tim & Sosvilla-Rivero, Simon, 1990. " Cointegration and Unit Roots," Journal of Economic Surveys, Wiley Blackwell, vol. 4(3), pages 249-73.
  14. 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.
  15. George L. Perry, 1977. "Potential Output and Productivity," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 8(1), pages 11-60.
  16. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-58, May.
  17. Toda, Hiro Y. & Phillips, Peter C. B., 1993. "The spurious effect of unit roots on vector autoregressions : An analytical study," Journal of Econometrics, Elsevier, vol. 59(3), pages 229-255, October.
  18. Yu, Eden S. H. & Hwang, Been-Kwei, 1984. "The relationship between energy and GNP : Further results," Energy Economics, Elsevier, vol. 6(3), pages 186-190, July.
  19. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-48, April.
  20. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  21. Ohanian, Lee E., 1988. "The spurious effects of unit roots on vector autoregressions : A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 39(3), pages 251-266, November.
  22. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  23. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  24. Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
  25. Jorgenson, Dale W, 1984. "The Role of Energy in Productivity Growth," American Economic Review, American Economic Association, vol. 74(2), pages 26-30, May.
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