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Correcting for Nonresponse in Transition Matrices Calculated from Longitudinal Data

Author

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  • Peterson, R. Neal
  • Gale, Fred

Abstract

Longitudinal data suffer from the same statistical problems as cross-sectional data. True estimates of means and sums require adjustments for sampling rates or, in the case of census data, nonresponse rates. Whereas in cross-sectional data the standard method of adjustment is the attachment of weights to individual observations, this method does not work in the case of transition matrices calculated from longitudinal data. The reason for this is the unavoidable misclassification of farms as exiters, entrants, and continuers that arises from nonresponse. The method presented here offers a simple algorithm based on four assumptions for making the necessary correction. The algorithm is easily implemented with standard spreadsheet software.

Suggested Citation

  • Peterson, R. Neal & Gale, Fred, 1991. "Correcting for Nonresponse in Transition Matrices Calculated from Longitudinal Data," Staff Reports 278389, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerssr:278389
    DOI: 10.22004/ag.econ.278389
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    File URL: https://ageconsearch.umn.edu/record/278389/files/ers-report-510.pdf
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    Cited by:

    1. Hoppe, Robert A. & Korb, Penelope J., 2001. "Farm Operations Facing Development: Results From The Census Longitudinal File," 2001 Annual meeting, August 5-8, Chicago, IL 20771, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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