Sampling Nomads: A New Technique for Remote, Hard-to-Reach, and Mobile Populations

Kristen Himelein; Stephanie Eckman; Siobhan Murray

doi:10.2478/jos-2014-0013

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Sampling Nomads: A New Technique for Remote, Hard-to-Reach, and Mobile Populations

Journal of Official Statistics

Volume 30 (2014): Issue 2 (June 2014)

By: Kristen Himelein, Stephanie Eckman and Siobhan Murray

Open Access

|May 2014

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 due to the nomadic and seminomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. In this study, we explore the use of a random geographic cluster sample (RGCS) 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. We present results of an RGCS survey with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. We explore the RGCS data quality relative to a recent household survey, and discuss the implementation challenges.

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Articles in this issue

DOI: https://doi.org/10.2478/jos-2014-0013 | Journal eISSN: 2001-7367

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Language: English

Page range: 191 - 213

Submitted on: Feb 1, 2013

Accepted on: Nov 1, 2013

Published online: May 8, 2014

Published in print: Jun 1, 2014

Published by: Sciendo

In partnership with: Paradigm Publishing Services

Keywords:

GIS,

Related subjects:

Probability and statistics

© 2014 Kristen Himelein, Stephanie Eckman, Siobhan Murray, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 30 (2014): Issue 2 (June 2014)