Several studies have used satellite measures of human activity to complement measures of economic production. This paper builds on those studies by considering satellite measures for improving poverty measures. The paper uses local-scale census and survey data from Guatemala to test at how fine a scale satellite measures are useful. Results show that supplementing survey data with satellite data leads to improvements in the estimates.
Details
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Author
Klemens,Ben, Coppola,Andrea, Shron,Max
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Document Date
2015/06/23
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Report Number
WPS7329
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Volume No
1
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Total Volume(s)
1
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Country
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Region
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Disclosure Date
2015/06/23
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Disclosure Status
Disclosed
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Doc Name
Estimating local poverty measures using satellite images : a pilot application to Central America
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Keywords
survey data;satellite data;Electricity;female head of household;ordinary least squares regression;poverty measurement and analysis;ict statistical capacity building;small area estimation;electric light;geographic information system;degrees of freedom;Poverty measures;household survey;household survey information;extensible markup language;rural indigenous population;rural female literacy;global poverty estimates;correlation between poverty;health insurance coverage;measure of poverty;estimation of poverty;distribution of wealth;poverty datum;census data;simple regression;simple model;
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Citation
Klemens,Ben Coppola,Andrea Shron,Max
Estimating local poverty measures using satellite images : a pilot application to Central America (English). Policy Research working paper,no. WPS 7329 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/886791467997248043/Estimating-local-poverty-measures-using-satellite-images-a-pilot-application-to-Central-America