. Importantly, by introducing the index of vulnerability as the weighted probability of a household falling into poverty over a …We examine vulnerability to poverty in Tajikistan during the global financial crisis, focusing on the roles played by … to estimate a Markov transition probability matrix with the aim of identifying the vulnerability of households to poverty …

Measuring poverty trends and dynamics is an important undertaking for poverty reduction policies, which is further … highlighted by the SDG goal 1 on eradicating poverty by 2030. We provide a broad overview of the pros and cons of poverty … review two common uses of poverty imputation methods that aim at tracking poverty over time and estimating poverty dynamics …

Survey data on household consumption are often unavailable or incomparable over time in many low- and middle … demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates …, household assets and housing, yield accurate predictions. Imputation accuracy is robust to varying survey questionnaire length …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … rates, as well as mean consumption levels and the entire consumption distribution. Analyzing 22 multi-topic household …

long term income poverty (longitudinal poverty) in 22 EU countries for the period 2005-2008, using the longitudinal …) longitudinal poverty. The results reveal considerable differences across EU countries regarding both the level and the structure of … the population at high risk of chronic material deprivation and longitudinal poverty. Finally, each country's population …

measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of … income, consumption, or expenditure. This paper offers a first attempt to measure poverty among refugees using cross … system, the proposed methodology offers out-of-sample predicted poverty rates. These estimates are not statistically …

empirical support for the claim that acquisition diaries yield the most accurate measurement of poverty and inequality and offer …While household well-being derives from long-term average rates of consumption, welfare comparisons typically rely on … questions. Identification stems from diary-recall differences in reports from the same household, does not require reports to be …

measurement of poverty. For the estimation of intrahousehold distribution of resources the study relies on collective Engel curves …. For the poverty analysis, we propose a fuzzy intrahousehold index which is less sensitive to small changes around the … poverty line compared to standard FGT indices and produce more reliable results. This provides an interesting approach to …

methods of measuring household welfare (and, accordingly, poverty and inequality) based on expenditures have not considered … remote work during the pandemic. We then propose methods to impute transportation cost equivalents for household expenditure … aggregates. We use Georgia as a case study to compare these methods and assess impacts on poverty and inequality. The proportion …

household surveys from 162 countries covering 98 percent of the population estimated to be in extreme poverty in 2017. We … income not by household size but by the square-root of household size. While the regional profile of extreme poverty is …Estimates of the number of people living in extreme poverty, as reported by the World Bank, figure prominently in …