IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v30y2014i2p23n3.html
   My bibliography  Save this article

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

Author

Listed:
  • Himelein Kristen

    (World Bank – Development Economics Research Group, 1818 H St. NW Washington District of Columbia 20433, U.S.A.)

  • Eckman Stephanie

    (Institute for Employment Research, Nuremberg, Germany.)

  • Murray Siobhan

    (World Bank – Development Economics Research Group, Washington, District of Columbia, U.S.A.)

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.

Suggested Citation

  • Himelein Kristen & Eckman Stephanie & Murray Siobhan, 2014. "Sampling Nomads: A New Technique for Remote, Hard-to-Reach, and Mobile Populations," Journal of Official Statistics, Sciendo, vol. 30(2), pages 1-23, June.
    • Handle: RePEc:vrs:offsta:v:30:y:2014:i:2:p:23:n:3
    DOI: 10.2478/jos-2014-0013
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jos-2014-0013
    Download Restriction: no
    File URL: https://libkey.io/10.2478/jos-2014-0013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Harriet Emerson & Robert MacFarlane, 1995. "Comparative Bias Between Sampling Frames For Farm Surveys," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 241-251, May.
    2. Stanislav Kolenikov, 2010. "Resampling variance estimation for complex survey data," Stata Journal, StataCorp LP, vol. 10(2), pages 165-199, June.
    3. Sabates-Wheeler, Rachel & Lind, Jeremy & Hoddinott, John, 2013. "Implementing Social Protection in Agro-pastoralist and Pastoralist Areas: How Local Distribution Structures Moderate PSNP Outcomes in Ethiopia," World Development, Elsevier, vol. 50(C), pages 1-12.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Durante, Anna Christine & Lapitan, Pamela & Megill, David & Rao , Lakshman Nagraj, 2018. "Improving Paddy Rice Statistics Using Area Sampling Frame Technique," ADB Economics Working Paper Series 565, Asian Development Bank.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Himelein, Kristen & Eckman, Stephanie & Murray, Siobhan, 2013. "The use of random geographic cluster sampling to survey pastoralists," Policy Research Working Paper Series 6589, The World Bank.
    2. Rodrigo M. Leifert & Claudio R. Lucinda, 2015. "Linear Symmetric "Fat Taxes": Evidence from Brazil," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 634-666.
    3. Matthew Robson & Miqdad Asaria & Richard Cookson & Aki Tsuchiya & Shehzad Ali, 2017. "Eliciting the Level of Health Inequality Aversion in England," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1328-1334, October.
    4. Islam, Moinul & Kotani, Koji & Managi, Shunsuke, 2016. "Climate perception and flood mitigation cooperation: A Bangladesh case study," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 117-133.
    5. Robert E. Hall & Sam Schulhofer-Wohl, 2018. "Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Job-Seekers," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 1-32, January.
    6. Jeremy Lind & Rachel Sabates‐Wheeler & John Hoddinott & Alemayehu Seyoum Taffesse, 2022. "Targeting Social Transfers in Ethiopia's Agro‐pastoralist and Pastoralist Societies," Development and Change, International Institute of Social Studies, vol. 53(2), pages 279-307, March.
    7. Armin Falk & Fabian Kosse & Pia Pinger & Hannah Schildberg-Hörisch & Thomas Deckers, 2021. "Socioeconomic Status and Inequalities in Children’s IQ and Economic Preferences," Journal of Political Economy, University of Chicago Press, vol. 129(9), pages 2504-2545.
    8. Nagler, Paula & Naudé, Wim, 2014. "Labor Productivity in Rural African Enterprises: Empirical Evidence from the LSMS-ISA," IZA Discussion Papers 8524, Institute of Labor Economics (IZA).
    9. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    10. Alexander Robitzsch, 2023. "Linking Error in the 2PL Model," J, MDPI, vol. 6(1), pages 1-27, January.
    11. repec:fpr:2020cp:3(3 is not listed on IDEAS
    12. Paul Eckerstorfer & Johannes Halak & Jakob Kapeller & Bernhard Schütz & Florian Springholz & Rafael Wildauer, 2016. "Correcting for the Missing Rich: An Application to Wealth Survey Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 605-627, December.
    13. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
    14. Marie T. Mora & Alberto D?vila, 2014. "Gender and Business Outcomes of Black and Hispanic New Entrepreneurs in the United States," American Economic Review, American Economic Association, vol. 104(5), pages 245-249, May.
    15. Owen Gallupe & Martin Bouchard, 2015. "The influence of positional and experienced social benefits on the relationship between peers and alcohol use," Rationality and Society, , vol. 27(1), pages 40-69, February.
    16. Heng Chen & Q. Rallye Shen, 2019. "Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 87-106, Emerald Group Publishing Limited.
    17. Akerkar, Supriya & Joshi, P.C. & Fordham, Maureen, 2016. "Cultures of Entitlement and Social Protection: Evidence from Flood Prone Bahraich, Uttar Pradesh, India," World Development, Elsevier, vol. 86(C), pages 46-58.
    18. Viktoria Hnatkovska & Amartya Lahiri & Sourabh Paul, 2012. "Castes and Labor Mobility," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 274-307, April.
    19. L. Tsourgiannis & M. Warren & A. Karasavvoglou & J. Eddison, 2012. "Marketing Strategies for the Primary Sector: An Empirical Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 147-178.
    20. Philippe Van Kerm, 2013. "Repeated half-sample bootstrap resampling," United Kingdom Stata Users' Group Meetings 2013 10, Stata Users Group.
    21. Pietro Santoleri, 2020. "Innovation and job creation in (high-growth) new firms," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(3), pages 731-756.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:offsta:v:30:y:2014:i:2:p:23:n:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.