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 …

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 …

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 …

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 …

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Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … rates, as well as mean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

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … rates, as well as mean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

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 …

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 …

Poverty is typically measured as insufficient yearly income or consumption. In practice, however, poverty is marked by … poverty measures to include a temporal dimension. Using panel data from rural India, we show how conventional poverty measures … can distort understandings of poverty: exposure to poverty is wider and more common than typically measured, and poverty …