The Use of Random Geographic Cluster Sampling to Survey Pastoralists

25 Pages Posted: 20 Apr 2016

See all articles by Kristen Himelein

Kristen Himelein

World Bank - Poverty Reduction and Economic Management

Stephanie Eckman

Government of the Federal Republic of Germany - Institute for Employment Research (IAB)

Siobhan Murray

World Bank

Date Written: September 1, 2013

Abstract

Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect because of the nomadic and semi-nomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. This study explores the use of a random geographic cluster sample as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. The results of a random geographic cluster sample survey are presented with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. The paper explores the data quality of the random geographic cluster sample relative to a recent household survey and discusses the implementation challenges.

Keywords: Livestock and Animal Husbandry, Rural Development Knowledge & Information Systems, Scientific Research & Science Parks, Wildlife Resources, Science Education

Suggested Citation

Himelein, Kristen and Eckman, Stephanie and Murray, Siobhan, The Use of Random Geographic Cluster Sampling to Survey Pastoralists (September 1, 2013). World Bank Policy Research Working Paper No. 6589. Available at SSRN: https://ssrn.com/abstract=2320861

Kristen Himelein (Contact Author)

World Bank - Poverty Reduction and Economic Management ( email )

1818 H Street NW
MSN3-311
Washington, DC 20433
United States

Stephanie Eckman

Government of the Federal Republic of Germany - Institute for Employment Research (IAB) ( email )

Regensburger Str. 104
Nuremberg, 90478
Germany

Siobhan Murray

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

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