This Joint Staff Advisory Note focuses on the Interim Poverty Reduction Strategy Paper (I-PRSP) for Haiti. The I-PRSP outlines the main areas of actions envisaged by the authorities to reduce poverty as well as the steps to be undertaken in the preparation of the full Poverty Reduction Strategy. The I-PRSP presents a good diagnostic of the current dimensions of pov...
This Joint Staff Advisory Note focuses on the Interim Poverty Reduction Strategy Paper (I-PRSP) for Haiti. The I-PRSP outlines the main areas of actions envisaged by the authorities to reduce poverty as well as the steps to be undertaken in the preparation of the full Poverty Reduction Strategy. The I-PRSP presents a good diagnostic of the current dimensions of pov...
A key challenge of the macroeconomic program is to increase domestic revenue mobilization to help support the higher levels of public spending for investment and basic services. For the current fiscal year, the authorities are developing a supplemental budget to reprogram existing budgetary resources in line with identified poverty reduction strategy priorities. Th...
A key challenge of the macroeconomic program is to increase domestic revenue mobilization to help support the higher levels of public spending for investment and basic services. For the current fiscal year, the authorities are developing a supplemental budget to reprogram existing budgetary resources in line with identified poverty reduction strategy priorities. Th...
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...
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...
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...
Countries receiving debt relief under the Heavily Indebted Poor Countries initiative will be among the first to benefit from the new World Bank -- International Monetary Fund approach to strengthening the impact on poverty of concessional assistance in low-income countries. The new approach features a more inclusive and participatory process for helping recipient c...