| Abstract: | The authors examine the temporal relationship between population growth and economic growth in Nepal, India, Ghana, Sri Lanka, Bolivia, Philippines, Guatemala, Syria, Peru, Thailand, Chile, Argentina, and Mexico, conducting Granger-causality tests in the context of error correction models when cointegration is present. Their goal is to provide additional time series econometric evidence on the short-run and long-run time series behavior of population growth and the growth of real per capita gross domestic product for a sample of low to middle income developing countries. Cointegration was found in only 3 of the 13 countries examined. Even though 10 countries in this study exhibited no properties of cointegration, researchers conducting time series studies of the relationship between population growth and economic growth using differenced data should nonetheless evaluate the possible long-term relationship. Capturing the short- and long-run behaviors of the respective time series may give the researcher a more robust test of Granger-causality. |
