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 …

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 …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is associated with a lower probability of predicting some poverty indicators, and that a better imputation …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is associated with a lower probability of predicting some poverty indicators, and that a better imputation …

addressed by a truly global micro-data base for studying poverty and inequality. …-record data sets for multiple countries, in addition to providing summary statistics from those data, including poverty and … inequality measures. LIS is a well-managed and undeniably important global public institution for research on inequality and …

Poverty in low-income countries is usually measured with large and infrequent household surveys. A challenge is to find … methods to measure poverty more frequently. The objective of this study is to test a method for predicting poverty, based upon … a statistical model utilizing consumption surveys and light annual surveys. A decade of poverty predictions and regular …

empirical support for the claim that acquisition diaries yield the most accurate measurement of poverty and inequality and offer …

multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with …

multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with …

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 …