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...

Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric...

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....

This paper investigates how estimates of the extent and trend of income poverty in China between 1990 and 2001 vary as a result of alternative plausible assumptions concerning key parameters that influence the poverty line and estimated consumption levels. Our methodology focuses on the...

This Working Paper investigates how estimates of the extent and trend of consumption poverty in China between 1990 and 2001 vary as a result of alternative plausible assumptions concerning the poverty line and estimated levels of consumption. The exercise is motivated by the existence of...

We evaluate the claim that world consumption poverty has fallen during the 1990s in light of alternative assumptions about the extent of initial poverty and the rate of subsequent poverty reduction in China, India, and the rest of the developing world. We assess the extent of poverty using two...