Growth is pro-poor if the poverty measure of interest falls. This implies three potential sources of pro-poor growth …: (a) a high rate of growth of average incomes; (b) a high sensitivity of poverty to growth in average incomes; and (c) a … poverty-reducing pattern of growth in relative incomes. I empirically decompose changes in poverty in a large sample of …

challenges remain in accelerating economic reforms and reducing poverty. Real economic growth accelerated from almost 4½ in 2010 …

This survey of the recent literature asks: how important is trade policy for poverty reduction? We consider the effects … of openness on poverty in two components: the effect of openness on average income growth, and the effect on distribution … of growth and poverty reduction. Trade openness has important positive spillovers on other aspects of reform, however, so …

. 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 … with an increase in poverty and, in some cases, income inequality. The provison of targeted safety nets and the protection …

poverty and inequality. We find that the epidemic lowers average income and increases poverty, and that the jump in poverty is … larger than expected from the fall in average income. This disproportionate increase in poverty reflects the large share of … the population living on the threshold of poverty and the higher HIV prevalence rates in those segments of the population. …

This paper describes the nature and evolution of poverty in Nigeria between 1985 and 1992. It highlights the potential … and welfare. The headcount measure of poverty in Nigeria declined from 43 percent to 34 percent between 1985 and 1992 …. Decomposing the factors causing the reduction in poverty shows that the overall decline of 9 percentage point was the net result …

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 …