from the regression model are then used to estimate ex ante household vulnerability to poverty (the likelihood that …

understanding of the vulnerability attributes of WWTPs including their exact location, the number of users they serve as well as …

vulnerability to poverty, based on an estimated probability of falling below the national poverty threshold not exceeding 10 percent … increase in the share of households that are vulnerable to poverty. The greater degree of vulnerability is also evident from …

understanding of households' vulnerability to shock-induced poverty is critical for disaster risk management and the design of … structural poverty but not for assessing the vulnerability of non-poor households to fall below the poverty line when they … households' vulnerability to poverty in Malawi. To accurately estimate the impacts of shocks on consumption and vulnerability …

and vulnerability estimation to create highly disaggregated vulnerability maps. The maps include predictions of the share … of chronically poor households (poverty-induced vulnerability) - the focus of traditional poverty maps - and the share of … households showing a significant probability of falling into poverty (risk-induced vulnerability). As an application of the …