Can census data alone signal heterogeneity in the estimation of poverty maps?

dc.contributor.author

Tarozzi, Alessandro

dc.date.accessioned

2012-10-23T18:13:49Z

dc.date.available

2012-10-23T18:13:49Z

dc.date.issued

2011-07

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.

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.

dc.identifier.uri

https://hdl.handle.net/10161/5913

dc.language.iso

en_US

dc.publisher

Elsevier BV

dc.relation.isversionof

10.1016/j.jdeveco.2010.05.003

dc.relation.journal

Journal of Development Economics

dc.subject

Census

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Heterogeneity

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Poverty mapping

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Small area estimation

dc.title

Can census data alone signal heterogeneity in the estimation of poverty maps?

dc.type

Journal article

duke.description.issue

2

duke.description.volume

95

pubs.begin-page

170

pubs.end-page

185

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