Energy Consumption and Economic Growth in Sweden: A Leveraged Bootstrap Approach, 1965-2000
The causal interaction between energy consumption, real activity and the prices in the Swedish economy is investigated over the period 1965-2000. The leveraged bootstrap simulation technique is used to generate more reliable critical values for tests of Granger causality between integrated variables. The estimation results reveal that energy consumption does not cause economic activity but rather it is caused by economic activity. Also we find that prices cause both economic activity and energy consumption without feedback causal relationship from these variables. The policy implications of these causal findings are explained.
Volume (Year): 2 (2005)
Issue (Month): 4 ()
|Contact details of provider:|| Web page: http://www.usc.es/economet/eaa.htm|
|Order Information:|| Web: http://www.usc.es/economet/info.htm Email: |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Erol, Umit & Yu, Eden S. H., 1987. "Time series analysis of the causal relationships between U.S. energy and employment," Resources and Energy, Elsevier, vol. 9(1), pages 75-89, June.
- A. Hatemi-J, 2003. "A new method to choose optimal lag order in stable and unstable VAR models," Applied Economics Letters, Taylor & Francis Journals, vol. 10(3), pages 135-137.
- 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.
- 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.
- Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-44, January.
- R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
When requesting a correction, please mention this item's handle: RePEc:eaa:ijaeqs:v:2:y2005:i:4_6. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (M. Carmen Guisan)
If references are entirely missing, you can add them using this form.