Estimating poverty in the absence of consumption data : the case of Liberia (English)

In much of the developing world, the demand for high frequency quality household data for poverty monitoring and program design far outstrips the capacity of the statistics bureau to provide such data. In these environments, all available data sources must be leveraged. Most surveys, however, do not collect the detailed consumption data necessary to construct aggregates and poverty lines to measure poverty directly. This paper benefits from a shared...

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Author

Dabalen,Andrew L.;

Graham,Errol George;

Himelein,Kristen;

Mungai,Rose;
Document Date
2014/09/01
Report Number
125414
Volume No
1
Total Volume(s)
1
Country
Liberia,
Region
Western and Central Africa,
Disclosure Date
2018/04/19
Disclosure Status
Disclosed
Doc Name
Estimating poverty in the absence of consumption data : the case of Liberia
Keywords
proxy means tests for targeting social programs

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Citation

Dabalen,Andrew L.; Graham,Errol George; Himelein,Kristen; Mungai,Rose.

Estimating poverty in the absence of consumption data : the case of Liberia (English). Poverty and Equity Global Practice Working Paper Series|no. 001 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/862751524138222368

Estimating poverty in the absence of consumption data : the case of Liberia (English)

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