Show simple item record Tarozzi, Alessandro 2012-10-23T18:13:49Z 2012-10-23T18:13:49Z 2011-07
dc.identifier.citation Tarozzi, A. (2011). "Can census data alone signal heterogeneity in the estimation of poverty maps?" Journal of Development Economics 95(2): 170-185. en_US
dc.description.abstract Methodologies now commonly used for the construction of poverty maps assume a substantial degree of homogeneity within geographical areas in the relationship between income and its predictors. However, local labor and rental markets and other local environmental differences are likely to generate heterogeneity in such relationships, at least to some extent. The purpose of this paper is to argue that useful if only indirect and suggestive evidence on the extent of area heterogeneity is readily available in virtually any census. Such indirect evidence is provided by non-monetary indicators–such as literacy, asset ownership or access to sanitation–which are routinely included in censuses. These indicators can be used to perform validation exercises to gauge the extent of heterogeneity in their distribution conditional on predictors analogous to those commonly used in poverty mapping. We argue that the same factors which are likely to generate area heterogeneity in poverty mapping are also likely to generate heterogeneity in such kind of validation exercises. We construct a very simple model to illustrate this point formally. Finally, we evaluate empirically the argument using data from Mexico. In our empirical illustrations, the performance of imputation methodologies to construct maps of indicators typically feasible with census data alone is indeed informative about how effectively such methodologies can produce correct inference in poverty mapping. en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.relation.isversionof doi:10.1016/j.jdeveco.2010.05.003 en_US
dc.subject Census en_US
dc.subject Heterogeneity en_US
dc.subject Poverty mapping en_US
dc.subject Small area estimation en_US
dc.title Can census data alone signal heterogeneity in the estimation of poverty maps? en_US
dc.type Article en_US
duke.description.endpage 185 en_US
duke.description.issue 2 en_US
duke.description.startpage 170 en_US
duke.description.volume 95 en_US
dc.relation.journal Journal of Development Economics en_US

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