Population and economic growth: a cointegration analysis of lesser developed countries
AbstractThis paper examines the temporal relationship between population growth and economic growth for a sample of less developed countries. Unlike prior research efforts, Granger causality tests are conducted in the context of error correction models when cointegration is present. Of the thirteen countries examined cointegration was present in only three countries. Although ten countries did not exhibit properties of cointegration, it is noted that researchers undertaking time series studies of the relationship between population growth and economic growth utilizing differenced data should evaluate the possible long-run relationship. Capturing both the short-run and long-run behaviour of the respective time series may provide the researcher with a more robust test of Granger-casuality.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 4 (1997)
Issue (Month): 11 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEL20
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Aka, Bédia F. & Dumont, J.C., 2008. "HEALTH, EDUCATION AND ECONOMIC GROWTH: TESTING FOR LONG-RUN RELATIONSHIPS AND CAUSAL LINKS in the United States," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 101-110.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.