This paper explores the possible presence of a causal relationship from income to population. With this aim, US data at different geographical levels have been analyzed using a dynamic panel data estimation framework. The results obtained suggest that the more dissagregated the data the stronger...

The impact of population growth on the environment is an issue that is highly debated yet comparatively under-researched empirically. This is true despite a vast number of published articles on the link between population and environmental changes speculating on the sign of the environment...

Grey system theory can powerfully deal with incomplete and uncertain information. In this paper, we introduced an improved grey GM(1,1) model that integrates residual modification with Markov chain model. By this model, we improved the forecast accuracy of original grey forecast model and...

The Scaled Model of Error has gained considerable popularity during the past ten years as a device for computing probabilistic population forecasts of the cohort-component type. In this report we investigate how sensitive probabilistic population forecasts produced by means of the Scaled Model...

Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.