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 …. Importantly, by introducing the index of vulnerability as the weighted probability of a household falling into poverty over a …

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where … trends and dynamic patterns of poverty outcomes over time. We present the various existing methods under a common framework …

There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes … poverty estimates in such contexts. These range from estimates on a nonmonetary basis, estimates for specific project … targeting or tracking trends at the national level, to estimates at a more disaggregated level, as well as estimates of poverty …

out of poverty have been recorded in a wide array of literature, the employment outcome of participating in a microcredit … program as a pathway to poverty reduction has been studied much less. Using two waves of longitudinal data on over 2000 … participants and raised the potential for income growth that contributed to poverty reduction. …

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 abroad 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 …

demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates …; the choice of base surveys for estimating the imputation model; different poverty lines; and alternative (quarterly or …

. Survey-to-survey imputation has been increasingly employed to address these data gaps for poverty measurement, but its … effective use requires standardized protocols. We refine existing poverty imputation models using 14 multi-topic household … estimates, which even fall within one standard error of the true poverty rates in many cases. Further adding geospatial …

A growing literature uses repeated cross-section surveys to derive 'synthetic panel' data estimates of poverty dynamics …

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 …

growth, poverty, and inequality. We find that typicalsurvey measures of consumption and income may exaggerate poverty …