This paper analyses the Tiebout hypothesis in Angola's provinces from 2004 to 2013, using a spatial panel data model. The Tiebout hypothesis, which states that a country's internal migration is dictated by regional public policy, is tested. Angola's internal inter-provincial migration is related to gross domestic product per capita, local public expenditure, unemployment, poverty, population density, the number of public employees in the region, and a NGO for civic education. The results reveal that spatial autocorrelation is a reality in the Angolan context, validating the adoption of a spatial model, and that regional migration is explained by the covariates. The general conclusion is that the Tiebout hypothesis is accepted in the Angolan regions, and that the most important cause of migration is regional poverty. Policy implications are derived and it is concluded that an efficient anti-poverty policy is needed in the Angolan context at regional level in order to decrease internal migration.

This paper presents evidence about the relationship between private credit, stock market indicators, income inequality and poverty, using the annual data that ranges from 1992 to 2018 on nine African economies. We applied the estimation method of Autoregressive Distributed Lag (ARDL) to model the long-run effect. In Addition, we used Dumitrescu and Hurlin Panel causality to check the direction of causality. The results of long-run estimates show that the stock market indicators have a significant positive impact on income inequalities, but have a negative and significant impact on poverty. Further, our findings show that private credit adversely reduces income inequalities. Our results also establish significant short-run causalities among stock market indicators, private credit, income inequalities, and poverty.