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Declining Response Rates in Federal Surveys: Trends and Implications (Background Paper)

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  • John L. Czajka
  • Amy Beyler

Abstract

This report documents recent trends in the response rates to seven major surveys sponsored by HHS and reviews recent literature on the relationship between response rates and nonresponse bias.

Suggested Citation

  • John L. Czajka & Amy Beyler, "undated". "Declining Response Rates in Federal Surveys: Trends and Implications (Background Paper)," Mathematica Policy Research Reports a714f76e878f4a74a6ad9f15d, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:a714f76e878f4a74a6ad9f15d83738a5
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/health/2016/declining_response_rates_scan.pdf
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    References listed on IDEAS

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    1. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
    2. Frauke Kreuter & Gerrit Müller & Mark Trappmann, 2014. "A Note on Mechanisms Leading to Lower Data Quality of Late or Reluctant Respondents," Sociological Methods & Research, , vol. 43(3), pages 452-464, August.
    3. John L. Czajka, "undated". "Can Administrative Records Be Used to Reduce Nonresponse Bias?," Mathematica Policy Research Reports 5a88b9fed835433f943c08646, Mathematica Policy Research.
    4. Bollinger, Christopher R & David, Martin H, 2001. "Estimation with Response Error and Nonresponse: Food-Stamp Participation in the SIPP," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 129-141, April.
    5. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    6. repec:mpr:mprres:7586 is not listed on IDEAS
    7. anonymous, 2011. "The future of financial market regulation," Forefront, Federal Reserve Bank of Cleveland, issue Winter, pages 1-2.
    8. Wang, Wei & Rothschild, David & Goel, Sharad & Gelman, Andrew, 2015. "Forecasting elections with non-representative polls," International Journal of Forecasting, Elsevier, vol. 31(3), pages 980-991.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Elina T Page & Elizabeth Larimore & John A Kirlin & Mark Denbaly, 2019. "The National Household Food Acquisition and Purchase Survey: Innovations and Research Insights," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(2), pages 215-234, June.
    2. Eggleston Jonathan, 2019. "Item Response Rates for Composite Variables," Journal of Official Statistics, Sciendo, vol. 35(2), pages 387-408, June.
    3. J. Jona Schellekens, 2019. "Explaining Disability Trends in the United States, 1963–2015," Population and Development Review, The Population Council, Inc., vol. 45(4), pages 819-834, December.
    4. Penn, Jerrod & Hu, Wuyang & Alfaro-Inocente, Adriana & Bastola, Sapana, 2020. "Payment versus Charitable Donations to Attract Producer Survey Participation," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304329, Agricultural and Applied Economics Association.
    5. Dan Hedlin, 2020. "Is there a 'safe area' where the nonresponse rate has only a modest effect on bias despite non‐ignorable nonresponse?," International Statistical Review, International Statistical Institute, vol. 88(3), pages 642-657, December.
    6. Hisler, Garrett C. & Twenge, Jean M., 2021. "Sleep characteristics of U.S. adults before and during the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 276(C).

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