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Explaining Rising Nonresponse Rates in Cross-Sectional Surveys

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  • J. Michael Brick
  • Douglas Williams

Abstract

This review of nonresponse in cross-sectional household surveys in the United States shows trends in nonresponse rates, the main reasons for nonresponse, and changes in the components of nonresponse. It shows that nonresponse is increasing but that existing methods for modeling response mechanisms do not adequately explain these changes.

Suggested Citation

  • J. Michael Brick & Douglas Williams, 2013. "Explaining Rising Nonresponse Rates in Cross-Sectional Surveys," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 36-59, January.
    • Handle: RePEc:sae:anname:v:645:y:2013:i:1:p:36-59
    DOI: 10.1177/0002716212456834
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    References listed on IDEAS

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    1. Katharine G. Abraham & Aaron Maitland & Suzanne M. Bianchi, 2006. "Non-response in the American Time Use Survey: Who Is Missing from the Data and How Much Does It Matter?," NBER Technical Working Papers 0328, National Bureau of Economic Research, Inc.
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    Cited by:

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    2. Borgschulte, Mark & Cho, Heepyung & Lubotsky, Darren, 2022. "Partisanship and survey refusal," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 332-357.
    3. Benjamin Küfner & Joseph W. Sakshaug & Stefan Zins, 2022. "Analysing establishment survey non‐response using administrative data and machine learning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 310-342, December.
    4. Katharine G. Abraham, 2022. "Big Data and Official Statistics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 835-861, December.

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