Comparing village characteristics derived from rapid appraisals and household surveys
Abstract
This paper investigates whether inferences drawn about a population are sensitive to the manner by which those data are obtained. It compares information obtained using participatory appraisal techniques with a survey of households randomly drawn from a locally administered census that had been carefully revised. The community map tends to include household members who do not, in fact, reside in the enumerated locality. By contrast, the revised official census is slightly more likely to exclude household members who actually lived in the surveyed area. Controlling for the survey technique, we find that the revised official census produces higher estimates of average household size and wealth but lower estimates of total village size or wealth, than the community map. Pairwise comparison of the survey techniques, holding the households constant, shows that the community map leads, on average, to higher estimates of household size and lower estimates of wealth.Download Info
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Paper provided by International Food Policy Research Institute (IFPRI) in its series FCND discussion papers with number 91.Length:
Date of creation: 2000
Date of revision:
Handle: RePEc:fpr:fcnddp:91
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Keywords: FCND ; Population Statistics. ; Surveys Methodology. ; Mali. ;Other versions of this item:
- Christiaensen, Luc J. M. & Hoddinott, John & Bergeron, Gilles, 2000. "Comparing village characteristics derived from rapid appraisals and household surveys," FCND briefs 91, International Food Policy Research Institute (IFPRI).
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Beaman, Lori & Dillon, Andrew, 2010. "Do household definitions matter in survey design?," IFPRI discussion papers 1009, International Food Policy Research Institute (IFPRI).
- Susan Watkins & Ina Warriner, 2003. "How do we know we need to control for selectivity?," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 1(4), pages 109-142, September.
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