Tracing down real socio-economic trends from household data with erratic sampling frames: The case of the Democratic Republic of the Congo

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dc.creatorMarivoet, Wim
dc.creatorDe Herdt, Tom
dc.date2018-03-27
dc.date2024-06-21T09:05:31Z
dc.date2024-06-21T09:05:31Z
dc.date.accessioned2026-06-27T15:12:47Z
dc.descriptionBy means of the latest seven national household surveys of the Democratic Republic of the Congo, this article uncovers the very volatile sampling frame used underneath all survey designs. As a result, the reliability of much associated survey information as well as any corresponding temporal analysis are seriously jeopardized. Relying on recent vaccination, school enrolment and election data, the article proposes a post-stratification technique to retroactively control for these erratic variations in sampling frame in an attempt to identify real socio-economic trends. Although the proposed technique did not restore full comparability of survey data in all respects, it has been able to eliminate an essential part of the spuriousness as illustrated by assessing trends in asset ownership under both the biased and stabilized sampling frames.
dc.identifierhttps://hdl.handle.net/10568/145993
dc.identifier.urihttp://hdl.handle.net/123456789/97836
dc.languageen
dc.publisherSAGE Publications
dc.rightsLimited Access
dc.sourceMarivoet, Wim; and De Herdt, Tom. 2018. Tracing down real socio-economic trends from household data with erratic sampling frames: The case of the Democratic Republic of the Congo. Journal of Asian and African Studies. 53(4): 532-552. https://doi.org/10.1177/0021909617698842
dc.subjectsampling
dc.subjectsurveys
dc.subjecthouseholds
dc.subjectsocioeconomic development
dc.titleTracing down real socio-economic trends from household data with erratic sampling frames: The case of the Democratic Republic of the Congo
dc.typeJournal Article

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