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Statistical Aspects of a Census

Author

Listed:
  • House, Carol C.

Abstract

This paper focuses on the statistical aspects of a census. It addresses issues such as the coverage, classification, sampling, non-sampling error, post collection processing, weighting and disclosure avoidance. The intent of the paper is to demonstrate that most (if not all) of the statistical issues that are important in conducting a survey are equally germane to conducting a census.

Suggested Citation

  • House, Carol C., 2001. "Statistical Aspects of a Census," NASS Research Reports 235076, United States Department of Agriculture, National Agricultural Statistics Service.
    • Handle: RePEc:ags:unasrr:235076
    DOI: 10.22004/ag.econ.235076
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    File URL: https://ageconsearch.umn.edu/record/235076/files/Statistical_Aspects_of_a_Census.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. repec:ags:unassr:234371 is not listed on IDEAS
    3. Atkinson, Dale & House, Carol, 2001. "A Generalized Edit and Analysis System for Agricultural Data," NASS Research Reports 234299, United States Department of Agriculture, National Agricultural Statistics Service.
    Full references (including those not matched with items on IDEAS)

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    1. repec:ags:unassr:235076 is not listed on IDEAS
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    3. 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.
    4. Atkinson, Dale, 2002. "Developmental Status of a New Processing System for Agricultural Data," NASS Research Reports 234369, United States Department of Agriculture, National Agricultural Statistics Service.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    Statistics

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