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© 2000 International Bank for Reconstruction and Development / The World Bank

research-article

Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador

Jesko Hentschel, Jean Olson Lanjouw, Peter Lanjouw, and Javier Poggi

the Poverty Division of the Poverty Reduction and Economic Management Network at the World Bank jhentschel{at}worldbank.org
Yale University and Free University Amsterdam planjouw{at}worldbank.org
the Development Research Group at the World Bank and Free University Amsterdam lanjouw{at}econ.yale.edu
Superintendence Banco y Seguros Lima

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.


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