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 …

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 …

Poverty statistics are conventionally compiled using data from household income and expenditure survey or living … standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available … geospatial data can accurately predict the spatial distribution of poverty in Thailand. In particular, geospatial data examined …

The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources … granular poverty maps. This study outlines a computational framework to enhance the spatial granularity of government …-published poverty estimates using a deep layer computer vision technique applied on publicly available medium-resolution satellite …

; how progress on EU poverty reduction has been disappointing and why this has been; conceptual and measurement issues; and …I address four topics: how our capacities to monitor poverty in Europe have improved substantially over recent decades … the future direction of EU-level anti-poverty actions. I follow in the footsteps of a giant - my perspectives are …