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Developing Integer Calibration Weights for Census of Agriculture

Author

Listed:
  • Luca Sartore

    (National Institute of Statistical Sciences
    USDA National Agricultural Statistics Service)

  • Kelly Toppin

    (USDA National Agricultural Statistics Service)

  • Linda Young

    (USDA National Agricultural Statistics Service)

  • Clifford Spiegelman

    (USDA National Agricultural Statistics Service
    Texas A&M University)

Abstract

When conducting a national survey or census, administrative data may be available that can provide reliable values for some of the variables. Survey and census estimates should be consistent with reliable administrative data. Calibration can be used to improve the estimates by further adjusting the survey weights so that estimates of targeted variables honor bounds obtained from administrative data. The commonly used methods of calibration produce non-integer weights. For the Census of Agriculture, estimates of farms are provided as integers so as to insure consistent estimates at all aggregation levels; thus, the calibrated weights are rounded to integers. The calibration and rounding procedure used for the 2012 Census of Agricultural produced final weights that were substantially different from the survey weights that had been adjusted for under-coverage, non-response, and misclassification. A new method that calibrates and rounds as a single process is provided. The new method produces integer, calibrated weights that tend to be consistent with more calibration targets and are more correlated with the modeled census weights. In addition, the new method is more computationally efficient. Supplementary materials accompanying this paper appear online.

Suggested Citation

  • Luca Sartore & Kelly Toppin & Linda Young & Clifford Spiegelman, 2019. "Developing Integer Calibration Weights for Census of Agriculture," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(1), pages 26-48, March.
    • Handle: RePEc:spr:jagbes:v:24:y:2019:i:1:d:10.1007_s13253-018-00340-4
    DOI: 10.1007/s13253-018-00340-4
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    References listed on IDEAS

    as
    1. O'Donoghue, Erik J. & Hoppe, Robert A. & Banker, David E. & Korb, Penni, 2009. "Exploring Alternative Farm Definitions: Implications for Agricultural Statistics and Program Eligibility," Economic Information Bulletin 291954, United States Department of Agriculture, Economic Research Service.
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    3. repec:ags:unassr:235089 is not listed on IDEAS
    4. Song Xi Chen & Cheng Yong Tang, 2011. "Properties of Census Dual System Population Size Estimators," International Statistical Review, International Statistical Institute, vol. 79(3), pages 336-361, December.
    5. Scholetzky, Wendy, 2000. "Evaluation of Integer Weighting for the 1997 Census of Agriculture," NASS Research Reports 234371, United States Department of Agriculture, National Agricultural Statistics Service.
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    7. Kott, Phillip S., 2001. "Using the Delete-a-Group Jackknife Variance Estimator in NASS Surveys," NASS Research Reports 235089, United States Department of Agriculture, National Agricultural Statistics Service.
    8. Linda J. Young & Andrea C. Lamas & Denise A. Abreu, 2017. "The 2012 Census of Agriculture: A Capture–Recapture Analysis," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 523-539, December.
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    Cited by:

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    2. 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.

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