Poverty Mapping with Aggregate Census Data: What is the Loss in Precision?

Nicholas Minot and Bob Baulch

No RP2004-38, WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER)

Abstract: Spatially disaggregated maps of the incidence of poverty can be constructed by combining household survey data and census data. In some countries (notably China and India), national statistics agencies are reluctant, for reasons of confidentiality, to release household-level census data, but they are generally more willing to release aggregated census data, such as village- or district-level means. This paper examines the loss in precision associated with using aggregated census data instead of household-level data to generate poverty estimates.

Keywords: Aggregation operators; Econometrics; Economic development; Poverty measurement; Methodology (Poverty) (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (2)

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https://www.wider.unu.edu/sites/default/files/rp2004-038.pdf (application/pdf)

Related works:
Journal Article: Poverty Mapping with Aggregate Census Data: What is the Loss in Precision? (2005)
Working Paper: Poverty mapping with aggregate census data: what is the loss in precision? (2002)
Working Paper: Poverty mapping with aggregate census data: what is the loss in precision? (2002)
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