Abstract
The empirical literature on the relationship between inequality and growth offers a contradictory assessment: Estimators based on time-series (differences-based) variation indicate a strong positive link while estimators (also) exploiting the cross-sectional (levelbased) variation suggest a negative relationship. Using an expanded dataset, the presentnpaper confirms this conflicting pattern — and reconciles it on the basis of a simple model.nWe argue that the differences-based methods are prone to reflect the mostly positive shortor medium-run implications of inequality while the level-based estimators also incorporate more negative long-term consequences. Thus, the latter estimates come close to reflecting the adverse overall impact of inequality in the long run.