multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with … disaggregated household level. Validation using Monte Carlo simulations and real cross-sectional and actual panel survey data- from …

multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with … disaggregated household level. Validation using Monte Carlo simulations and real cross-sectional and actual panel survey data - from …

The reduction of poverty is at the heart of the development agenda both nationally and globally. This is reflected in … the measurement of poverty is ex post and thus, public interventions are directed at helping those who have been … identified as poor, the government must broaden the scope of assessments and take account of the dynamics in poverty in public …

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 …