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...

Empirical studies of the impact of geography and institutions on growth and development at the international level have become common place, but the high degree of abstraction at that level has led to calls for subnational studies. This paper examines these issues for a region of the United...

Remittance flows appear to be falling worldwide for the first time in decades as a result of the ongoing financial turmoil. It is suspected that the drop in remittance income into developing and emerging markets will have a destabilizing effect on these economies. The paper estimates the impact...

Over the past decades, workers' remittances have grown to become one of the largest sources of financial flows to developing countries, often dwarfing other widely-studied sources such as private capital and official aid flows. While it is undeniable that remittances have poverty-alleviating and...

In most developing countries, poverty is more widespread and severe in rural than in urban areas. The author reviews some important aspects of rural poverty and draws key implications for public policy. He presents a policy framework for reducing poverty, taking into account the functional...

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...