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Adjusting for Misclassification: A Three-Phase Sampling Approach

Author

Listed:
  • Sang Hailin

    (Department of Mathematics, University of Mississippi, University, MS 38677, United States of America)

  • Lopiano Kenneth K.

    (Roundtable Analytics, Research Triangle Park, NC 27709, United States of America)

  • Abreu Denise A.

    (National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America)

  • Lamas Andrea C.

    (National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America)

  • Arroway Pam

    (EDUCAUSE, 282 Century Place, Ste 5000 Louisville, CO 80027, United States of America)

  • Young Linda J.

    (National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America)

Abstract

The United States Department of Agriculture’s National Agricultural Statistics Service (NASS) conducts the June Agricultural Survey (JAS) annually. Substantial misclassification occurs during the prescreening process and from field-estimating farm status for nonresponse and inaccessible records, resulting in a biased estimate of the number of US farms from the JAS. Here, the Annual Land Utilization Survey (ALUS) is proposed as a follow-on survey to the JAS to adjust the estimates of the number of US farms and other important variables. A three-phase survey design-based estimator is developed for the JAS-ALUS with nonresponse adjustment for the second phase (ALUS). A design-unbiased estimator of the variance is provided in explicit form.

Suggested Citation

  • Sang Hailin & Lopiano Kenneth K. & Abreu Denise A. & Lamas Andrea C. & Arroway Pam & Young Linda J., 2017. "Adjusting for Misclassification: A Three-Phase Sampling Approach," Journal of Official Statistics, Sciendo, vol. 33(1), pages 207-222, March.
  • Handle: RePEc:vrs:offsta:v:33:y:2017:i:1:p:207-222:n:11
    DOI: 10.1515/jos-2017-0011
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    References listed on IDEAS

    as
    1. Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2015. "Sampling Spatial Units for Agricultural Surveys," Advances in Spatial Science, Springer, edition 127, number 978-3-662-46008-5, February.
    2. Peter F. Thall & Derek Jacoby & Stuart O. Zimmerman, 1996. "Estimating Genomic Category Probabilities from Fluorescent in Situ Hybridization Counts with Misclassification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(4), pages 431-446, December.
    3. Abreu, Denise A. & McCarthy, Jaki S. & Colburn, Leslie A., 2010. "Impact of the Screening Procedures of the June Area Survey on the Number of Farms Estimates," NASS Research Reports 234374, United States Department of Agriculture, National Agricultural Statistics Service.
    Full references (including those not matched with items on IDEAS)

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