The environmental Kuznets curve : evidence from time series data for Germany
In recent years, extensive literature on the Environmental Kuznets Curve lead- ing to optimistic policy conclusions has attracted great attention. However, the underlying cross-section estimations are not very reliable. Accordingly, this contribution uses time series data for a single country with dependable data quality : Germany. The results of the traditional reduced-form specification do not support the EKC hypothesis. However, with a specification in the tradi- tion of error correction models, which are more appropriate in the presence of non-stationary time series, it is found that the typical EKC pattern can be confirmed.
|Date of creation:||Sep 2004|
|Date of revision:|
|Contact details of provider:|| Postal: Zürichbergstrasse 18, ZUE, CH-8092 Zürich|
Phone: +41 44 632 03 87
Fax: +41 44 632 13 62
Web page: http://www.cer.ethz.ch
More information through EDIRC
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.:
- MacKinnon, James G, 1994.
"Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 12(2), pages 167-76, April.
- James G. MacKinnon, 1992. "Approximate Asymptotic Distribution Functions for Unit Roots and Cointegration Tests," Working Papers 861, Queen's University, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:eth:wpswif:03-28. 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: ()
If references are entirely missing, you can add them using this form.