the south west region of Guatemala, which used mobile phone data to predict observed poverty rates. Its findings indicate … predicting urban and total poverty in Guatemala more accurately than rural poverty. Moreover, although the poverty estimates … that CDR-based research methods have the potential to replicate the poverty estimates obtained from traditional forms of …

limited analysis can be conducted on the implications for poverty, the study finds that the profiles of the poorest households …

analyses of low-income populations. We focus on the Current Population Survey (CPS), the source of official poverty and … understates the effects of anti-poverty programs and changes our understanding of program targeting, often making it seem that … data rather than survey data alone, the poverty reducing effect of all programs together is nearly doubled while the effect …

This paper applies an innovative method to estimate poverty in India in the absence of recent expenditure data. The … goods expenditure conducted in 2014-15. At the USD 1.90 per day international poverty line, the preferred model predicts a … 2014-15 head-count poverty rate of 10 percent in urban areas and 16.4 percent in rural areas, implying a poverty rate of 14 …

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where … trends and dynamic patterns of poverty outcomes over time. We present the various existing methods under a common framework …

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 …