dynamic measure permits us to focus on inequality as well as distinguish between countries where per capita income growth was …

outcomes. It finds that while poverty has fallen across the region over the last two decades, inequality has increased …, dampening the impact of growth on poverty reduction. As a result, relative to other emerging and developing regions and to Asia …

This paper uses the Shapley Value decomposition technique to assess the factors behind the rise of inequality in China …. It finds that, in many ways, inequality may have been an inevitable by-product of China’s investment and export …-led growth model. Between Chinese households, we find that the most important factors explaining income inequality are location …

We document the evolution of poverty and inequality across Indian states during the recent period of rapid growth (2004 …-09), and examine the role of growth and distribution in reducing poverty. Robust economic growth has been a major driver of … poverty reduction and inclusiveness in India. We explore the role of economic policies and macrofinancial conditions in …

-evaluation framework. Surprisingly, we find that the welfare costs of inequality outweigh the benefits of growth in most cases. These … calculations support the case for a research agenda that treats not only growth but also inequality as a priority. …

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 …

The objective of this paper is to present some early experiences of poverty and social impact analysis (PSIA) from the … step toward PSIA by making more explicit the links between poverty and policies. Various examples highlight that even … potential poverty effects even in countries with limited data, and therefore contribute to a more informed policy debate and …