Current estimates of global poverty vary substantially across studies. We undertake a sensitivity analysis to highlight the importance of methodological choices by measuring global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines....

The generalized method of moments (GMM) estimator is often used to test for convergence in income distribution in a dynamic panel set-up. We argue that though consistent, the GMM estimator utilizes the sample observations inefficiently. We propose a simple ordinary least squares (OLS) estimator...

Since the economic reforms of the early 1990s, the Indian economy witnessed a rapid rise in the mean income level, and, simultaneously, changes in the distribution of income. This study tries to capture how these changes affected poverty levels across major states in India. Total change in...

Neoclassical models imply convergence of the entire distribution, not just the mean income levels. In this paper, we test for convergence in income inequality across countries. We compile extensive data on gini indices over a period of 25 years. Convergence in inequality is tested separately for...

Department: Economics.

Recent influential studies among development economists claim that aid to developing countries is not nearly as beneficial to recipient nations as had been expected. Are these statistical analyses right? One problem is that total aid, on which most studies are based, includes two distinct kinds...