income distributions and national accounts GDP, we estimate income distributions, poverty rates, and inequality indices for … African countries for the period 1990-2011. Our findings are as follows. First, African poverty is falling rapidly. Second …, the African countries for which good inequality data exist are set to reach the Millennium Development Goal (MDG) poverty …

of the country's population. We demonstrate that there is an important ethnic gap in the poverty levels of the Xhosa and …

This paper evaluates the global welfare consequences of increases in mortality and poverty generated by the Covid-19 … years spent in poverty (PY) are conservatively estimated using growth estimates for 2020 and two dierent scenarios for its … 2020, the pandemic (and the observed private and policy responses) has generated at least 68 million additional poverty …

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 …

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 …

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 …

Poverty-growth elasticities are frequently calculated to provide insight into the inclusiveness of the growth process …. Mathematically, the formula employed to calculate the growth elasticity of poverty leads to lower values for higher initial poverty … and space. Poverty-growth semi-elasticities provide a more robust measure of the responsiveness of poverty to growth. …