Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

, the poverty rate, or the incidence of regular wage employment. The results suggest that the highways caused an increase in …

rounds of Living Standards Measurement Study surveys from Malawi, Uganda, Rwanda, Tanzania, and Ghana to construct indices …, perform well in urban settings. Yet, in rural samples and when identifying the extreme poor, household rankings and poverty …

Frequent measurement of poverty is challenging, as measurement often relies on complex and expensive expenditure … questions about the consistency of the poverty-tracking efforts currently applied across countries, since obtaining exhaustive …

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 …

limited analysis can be conducted on the implications for poverty, the study finds that the profiles of the poorest households …