We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala …-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty … estimates, the sign and magnitude of which vary with the bandwidth, the kernel, the number of datapoints, and across poverty …

may contribute to rising poverty during periods of high inflation. …

The econometric literature has been unable to establish a robust association between foreign aid and growth and poverty … countries. The model quantifies three sources of poverty: (i) lack of access to international capital, (ii) low schooling and … high fertility (a poverty trap), and (iii) antigrowth domestic fiscal policy. We analyze policies designed to address each …