Poverty maps provide information on the spatial distribution of living standards. They are an important tool for policymakers, who rely on them to allocate transfers and inform policy design. Poverty maps are also an important tool for researchers, who use them to investigate the relationship between distribution within a country and growth or other economic, environmental, or social outcomes. A major impediment to the development of poverty maps has been that needed data on income or consumption typically are available only from relatively small surveys. Census data have the required sample size but generally do not have the required information. This article uses the case of Ecuador to demonstrate how sample survey data can be combined with census data to yield predicted poverty rates for the population covered by the census. These poverty rates are found to be precisely measured, even at fairly disaggregated levels. However, beyond a certain level of spatial disaggregation, standard errors rise rapidly. Copyright 2000 by Oxford University Press.
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Volume (Year): 14 (2000) Issue (Month): 1 (January) Pages: 147-65 Download reference. The following formats are available: HTML
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Handle: RePEc:oup:wbecrv:v:14:y:2000:i:1:p:147-65
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Elbers, Chris & Lanjouw, Peter & Mistiaen, Johan & Özler, Berk & Simler, Kenneth, 2003.
"Are neighbors equal?,"
FCND discussion papers
147, International Food Policy Research Institute (IFPRI).
[Downloadable!]
Other versions:
Elbers, Chris & Lanjouw, Peter & Mistiaen, Johan & Özler, Berk & Simler, Kenneth, 2003.
"Are neighbors equal?,"
FCND briefs
147, International Food Policy Research Institute (IFPRI).
[Downloadable!]
Christiaensen, Luc & Scott, Christopher & Wodon, Quentin, 2002.
"Poverty Measurement and Analysis,"
MPRA Paper
11810, University Library of Munich, Germany.
[Downloadable!]