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Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?

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  • Phung, T.D.
  • Hardeweg, B.
  • Praneetvatakul, S.
  • Waibel, H.

Abstract

This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents.

Suggested Citation

  • Phung, T.D. & Hardeweg, B. & Praneetvatakul, S. & Waibel, H., 2015. "Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?," World Development, Elsevier, vol. 71(C), pages 25-35.
    • Handle: RePEc:eee:wdevel:v:71:y:2015:i:c:p:25-35
    DOI: 10.1016/j.worlddev.2013.11.008
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    References listed on IDEAS

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    1. Fisher, Monica & Reimer, Jeffrey J. & Carr, Edward R., 2010. "Who Should be Interviewed in Surveys of Household Income?," World Development, Elsevier, vol. 38(7), pages 966-973, July.
    2. Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012. "Reliability of recall in agricultural data," Journal of Development Economics, Elsevier, vol. 98(1), pages 34-41.
    3. Paul Glewwe & Hai-Anh Hoang Dang, 2008. "The Impact of Decentralized Data Entry on the Quality of Household Survey Data in Developing Countries: Evidence from a Randomized Experiment in Vietnam," The World Bank Economic Review, World Bank, vol. 22(1), pages 165-185, January.
    4. Quy-Toan Do & Tung D. Phung, 2010. "The Importance of Being Wanted," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 236-253, October.
    5. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
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    Cited by:

    1. Nguyen, Trung Thanh & Nguyen, Loc Duc & Lippe, Rattiya Suddeephong & Grote, Ulrike, 2017. "Determinants of Farmers’ Land Use Decision-Making: Comparative Evidence From Thailand and Vietnam," World Development, Elsevier, vol. 89(C), pages 199-213.
    2. Truong Lam Do & Trung Thanh Nguyen & Ulrike Grote, 2022. "Livestock production and income inequality in rural Vietnam," Empirical Economics, Springer, vol. 62(2), pages 409-438, February.
    3. Mark Brooks & Rattiya S. Lippe & Hermann Waibel, 2020. "Comprehensive data quality studies as a component of poverty assessments," TVSEP Working Papers wp-019, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    4. Himelein,Kristen, 2015. "Interviewer effects in subjective survey questions: evidence from Timor-Leste," Policy Research Working Paper Series 7208, The World Bank.
    5. Brooks, Mark & Lippe, Rattiya S. & Waibel, Hermann, 2021. "PAPI is gone, but errors remain: Non-sampling errors in household surveys," 2021 Conference, August 17-31, 2021, Virtual 315277, International Association of Agricultural Economists.

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