Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of a recently developed cross-survey imputation method to estimate poverty for a sample of … proposed method offers poverty estimates based on administrative data that are mostly statistically insignificantly different …

Poverty measurement among forcibly displaced populations, including refugees and internally displaced persons, has been …, for long, neglected by the economics profession and by poverty specialists working across the social sciences. This has … reviews the evolution, current status, and future prospects of the poverty measurement literature on forcibly displaced …

incidence analysis suggests that increased spending on social assistance enhances the probability of moving out of poverty and … reduces the probability of moving into poverty. However, double difference estimates (based on a mimicked randomized … household welfare or reduce poverty. Double difference estimates point to a negative impact on welfare. Parametric estimates do …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad … poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad … poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey …

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests …, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in … predicting poverty using alternative objective functions and stochastic dominance analysis based on coverage curves. It finds …