Abstract
Reliable indicators of poverty and social exclusion are an essential monitoring tool. Policy research and application increasingly require statistics disaggregated to lower levels and smaller subpopulations. This paper addresses some statistical aspects relating to improving the sampling precision of such indicators for subnational regions, in particular through the cumulation of data.
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Verma, V., Gagliardi, F., & Ferretti, C. (2013). Cumulation of poverty measures to meet new policy needs. In Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies (pp. 511–522). Springer International Publishing. https://doi.org/10.1007/978-3-642-35588-2_46
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