sheds light on the relationship between poverty and agriculture as part of the process of structural transformation. It … regional level where the Common Agricultural Program funding tends to go, poverty-wise, within each country. This approach …

, decreasing the Gini inequality index by 21 percentage points, and the official measure of poverty incidence by 27.6 percentage …

poverty and inequality goals. The paper uses different assumptions about growth incidence curves to model changes in … the forecasts, suggesting an important role for inequality on the path to eliminating extreme poverty …The goals of ending extreme poverty by 2030 and working toward a more equal distribution of income are prominent in …

intra-household inequality and individual risk of poverty …. The current practice of ignoring inequality within households could lead to an underestimation of both overall inequality … and poverty levels, as well as to the misclassification of some individuals as regards to their poverty status. Using a …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is associated with a lower probability of predicting some poverty indicators, and that a better imputation …

This paper applies an innovative method to estimate poverty in India in the absence of recent expenditure data. The … goods expenditure conducted in 2014-15. At the USD 1.90 per day international poverty line, the preferred model predicts a … 2014-15 head-count poverty rate of 10 percent in urban areas and 16.4 percent in rural areas, implying a poverty rate of 14 …

Poverty maps are a useful tool for the targeting of social programs on areas with high concentrations of poverty …. However, a static focus on poverty ignores the temporal dimension of poverty. Thus, current nonpoor households still face … substantial welfare volatility and are at risk of becoming poor in the face of shocks. We combine the methods of poverty mapping …

North Africa region used to measure monetary poverty and evaluates ways to fill these information gaps. Despite improving … of other second-best strategies can be employed. Using imputation methods can help to measure monetary poverty …. Constructing non-monetary poverty and asset indexes from less robust surveys, using non-traditional surveys such as phone surveys …