incidence analysis suggests that increased spending on social assistance enhances the probability of moving out of poverty and … reduces the probability of moving into poverty. However, double difference estimates (based on a mimicked randomized … household welfare or reduce poverty. Double difference estimates point to a negative impact on welfare. Parametric estimates do …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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 …

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 …

poverty regularly. This paper develops an economically intuitive and inexpensive methodology to do so in the absence of …

The aim of this paper is to assess the possible impacts of the Doha Round of negotiations on poverty in Cameroon …. During the recent period of economic recovery, Cameroon has enjoyed a sharp decline in poverty with the headcount index … model which involves 10,992 households in order to address this question. The Doha Round is found to be poverty reducing for …

The Moving to Opportunity (MTO) experiment offered randomly selected families living in high-poverty housing projects … housing vouchers to move to lower-poverty neighborhoods. We present new evidence on the impacts of MTO on children's long …-term outcomes using administrative data from tax returns. We find that moving to a lower-poverty neighborhood significantly improves …