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Using the Delete-a-Group Jackknife Variance Estimator in NASS Surveys

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  • Kott, Phillip S.

Abstract

The National Agricultural Statistics Service (NASS) plans to use estimation strategies of increasing complexity in the future and will need to estimate the variances resulting from those strategies. This report describes a relatively simple method of variance/mean squared error estimation, the delete-agroup jackknife, that can be used meaningfully in a remarkably broad range of settings employing complex estimation strategies. The text describes a number of applications of the method in abstract terms. It goes on to shows how the delete-a-group jackknife has been applied to some recent NASS surveys.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:unasrr:235089
    DOI: 10.22004/ag.econ.235089
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    File URL: https://ageconsearch.umn.edu/record/235089/files/Using_the_Delete-a-Group_Jackknife_Estimator_in_NASS_Surveys.pdf
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    References listed on IDEAS

    as
    1. Kott, Phillip S. & Bailey, Jeffrey T., 2000. "The Theory and Practice of Maximal Brewer Selection with Poisson PRN Sampling," NASS Research Reports 234380, United States Department of Agriculture, National Agricultural Statistics Service.
    2. Kott, Phillip S., 1997. "A (Partially) Model-Based Look at Jackknife Variance Estimation with Two-Phase Samples," NASS Research Reports 234300, United States Department of Agriculture, National Agricultural Statistics Service.
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    Citations

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    Cited by:

    1. 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.
    2. Lu Chen & Luca Sartore & Habtamu Benecha & Valbona Bejleri & Balgobin Nandram, 2022. "Smoothing County-Level Sampling Variances to Improve Small Area Models’ Outputs," Stats, MDPI, vol. 5(3), pages 1-18, September.
    3. Kleiber, Kandice, 2009. "The Effect of Ethanol-Driven Corn Demand on Crop Choice," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49616, Agricultural and Applied Economics Association.
    4. Dong, Fengxia & Mitchell, Paul D., 2023. "Economic and risk analysis of sustainable practice adoption among U.S. corn growers," Agricultural Systems, Elsevier, vol. 211(C).
    5. Paolo Righi & Stefano Falorsi & Andrea Fasulo, 2014. "Methods for variance estimation under random hot deck imputation in business surveys," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 16(1-2), pages 45-64.
    6. Kott, Phillip S. & Garren, Steven T., 2009. "Evaluating the Asymptotic Limits of the Delete-a-Group Jackknife for Model Analyses," NASS Research Reports 234370, United States Department of Agriculture, National Agricultural Statistics Service.
    7. Lambert, Dayton M. & Schaible, Glenn D. & Johansson, Robert C. & Daberkow, Stan G., 2006. "Working-Land Conservation Structures: Evidence on Program and Non-Program Participants," 2006 Annual meeting, July 23-26, Long Beach, CA 21438, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Parcel Joshua D. & Schroeter John R. & Azzam Azzeddine M, 2017. "A Re-Examination of Multistage Economies in Hog Farming," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 15(2), pages 1-15, December.
    9. An, Henry, 2012. "Complementarities in Production Technologies: An Empirical Analysis of the Dairy Industry," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124653, Agricultural and Applied Economics Association.
    10. Musser, Wesley N. & Lambert, Dayton M. & Daberkow, Stan G., 2006. "Factors Affecting Direct and Indirect Energy Use in U.S. Corn Production," 2006 Annual meeting, July 23-26, Long Beach, CA 21063, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Eilya Torshizian & Arthur Grimes, 2021. "Household Crowding Measures: A Comparison and External Test of Validity," Journal of Happiness Studies, Springer, vol. 22(4), pages 1925-1951, April.
    12. Lambert, Dayton M. & Sullivan, Patrick, 2006. "Conservation Reserve Program Participation and Acreage Enrollment of Working Farms," 2006 Annual meeting, July 23-26, Long Beach, CA 21361, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. McCarthy Jaki & Wagner James & Sanders Herschel Lisette, 2017. "The Impact of Targeted Data Collection on Nonresponse Bias in an Establishment Survey: A Simulation Study of Adaptive Survey Design," Journal of Official Statistics, Sciendo, vol. 33(3), pages 857-871, September.
    14. repec:ags:unassr:234370 is not listed on IDEAS
    15. An, Henry, 2008. "The Adoption and Disadoption of Recombinant Bovine Somatotropin in the U.S. Dairy Industry," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6278, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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