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 …

with an increase in poverty and, in some cases, income inequality. The provison of targeted safety nets and the protection …. These crises affect poverty and the distribution of income through a variety of channels: slowdowns in economic activity … incidence of poverty and income distribution, and discusses policy options that can be considered by governments in the …

for, poverty consistently appears as the main worldwide determinant of NGO aid allocation. NGOs do not respond to …

The paper provides estimates of global relative poverty trends from 1970 onwards. Relative poverty is shown to have … decreased significantly, but at the same time there has been a worsening poverty outcome among up to one billion of the world …

This paper demonstrates that high and rising corruption increases income inequality and poverty by reducing economic … growth, the progressivity of the tax system, the level and effectiveness of social spending, and the formation of human … for countries with different growth experiences, at different stages of development, and using various indices of …

to have a long-term negative impact on both economic growth and poverty reduction …

may contribute to rising poverty during periods of high inflation …

together the literature that links external debt with income growth and poverty. The main conclusion is that once the effect of …This paper explores the relationship between external debt and poverty. A number of observers have argued that high … external indebtedness is a major cause of poverty. Using the first-differenced general method of moments (GMM) estimator, the …