effective use requires standardized protocols. We refine existing poverty imputation models using 14 multi-topic household … surveys conducted over the past decade in Ethiopia, Malawi, Nigeria, Tanzania, and Vietnam. We find that adding household …Household consumption data are often unavailable, not fully collected, or incomparable over time in poorer countries …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … rates, as well as mean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

Hardly any literature exists on the relationship between equivalence scales and poverty dynamics for transitional … countries. We offer a new study on the impacts of equivalence scale adjustments on poverty dynamics in the Russian Federation …, using equivalence scales constructed from subjective wealth and more than 20 waves of household panel survey data from the …

. 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 …

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 … household labor income isolating the biases that may result from non-random program placement, censoring in self-employment work …

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where … household consumption data are unavailable or missing. These contexts range from completely missing and partially missing … consumption data in cross sectional household surveys, to missing panel household data. We focus on methods that aim to compare …

There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes … unavailable household consumption data. We offer a review of alternative imputation methods that have been employed to provide … poverty estimates in such contexts. These range from estimates on a nonmonetary basis, estimates for specific project …

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 …

pandemic reduced household income, increased the poverty rate, and worsened wage equality. It increased the proportion of below …