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Robust inference in poverty mapping
2016Small area estimation (SAE) methods are widely used for estimating poverty indicators at finer levels of a country’s geography. Three unit-level SAE techniques – the ELL method (Elbers, Lanjouw, and Lanjouw, 2003), also known as the World Bank method, the Empirical Best Prediction (EBP) method (Molina and Rao, 2010) and the M-Quantile (MQ) method ...
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Generating disaggregated poverty maps [PDF]
, 1998 Geographic targeting is often recommended as a way to improve the impact of social spending and infrastructure investments on rural poverty. Previous research shows that such targeting is not very accurate unless the geographic units are small. Household surveys, however, rarely allow the estimation of poverty rates for more than 5-10 regions in a ...
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Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Nature, 2022Vassily Trubetskoy +2 more
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Mapping Vulnerability: Extending Static Poverty Maps for Vietnam
2013In recent years, poverty mapping has gained popularity among researchers and policy makers as a powerful tool for identifying pockets of poverty and providing detailed information on regional differences in well-being (Demombynes et al, 2004; Elbers et al, 2007).
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A systemic approach to mapping participation with low-carbon energy transitions
Nature Energy, 2021Jason Chilvers +2 more
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Recognition of and response to energy poverty in the United States
Nature Energy, 2020Dominic J Bednar, Tony G Reames
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Poverty and inequality mapping in transition countries
2005In this paper we estimate various measures of poverty and inequality for small administrative units in a Transition Country — Albania — and we prepare the corresponding maps. Poverty and inequality maps — spatial descriptions of the distribution of poverty and inequality — are most useful to policymakers and researchers when they are finely ...
NERI, LAURA, F. BALLINI, BETTI, GIANNI
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