Poverty alleviation through geographic targeting: How much does disaggregation help?

By Chris Elbers, T. Fujii, Peter Lanjouw, Berk Özler, Wesley Yin. 2004

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Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas (2009, methodology): “Elbers et al. (2002) argue that in such cases, one can modify ELL to obtain an upper bound of the true variance: in each replication, instead of assigning the same location effect estimated at the cluster level to all units within a cluster, one can assign the location effect to all units within the”
Development Research at High Geographic Resolution: An Analysis of Night-Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform (2021, methodology): “Our analysis follows an established literature examining the social benefit of targeting anti-poverty programs at various geographic scales (Ravallion 1993; Baker and Grosh 1994; Bigman et al. 2000; Bigman and Srinivasan 2002; Elbers et al. 2007; Brown, Ravallion, and van de Walle 2019).”