The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data,...

We examine the (potentially nonlinear) relationship between inequality and growth using a method which does not require an a priori assumption on the underlying functional form. This approach reveals a plateau completely missed by commonly used (nonlinear) parametric approaches - the economy...

The question of who benefits from economic growth is usually assessed by using cross section data to calculate changes in income inequality. An alternative is to assess patterns of panel income changes. We derive theoretical conditions reconciling changes in inequality together with various...

The study determines how worsening internal and external conflict affects income inequality. The paper accounts for contributing variables and analyzes panel data in an unbalanced panel of 106 countries from 1988 to 2018-the panel data model groups by development status. The econometric model...