This paper reviews the theory and application of decomposition techniques in the context of spatial inequality. It establishes some new theoretical results with potentially wide applicability, and examines empirical evidence drawn from a large number of countries.

This paper argues that the conventional approach of data averaging is problematic for exploring the growth–inequality nexus. It introduces the polynomial inverse lag (PIL) framework so that the impacts of inequality on investment, education, and ultimately on growth can be measured at...