@article{Crouse:322811,
      recid = {322811},
      author = {Crouse, Chad},
      title = {Evaluation of the Use of Spatial Modeling to Improve  County Yield Estimation },
      address = {2000-09},
      number = {1496-2022-1377},
      series = {RD Research Report Number RDD-00-05},
      pages = {32},
      year = {2000},
      abstract = {Crop county estimates, produced by the USDA's National  Agricultural Statistics Service (NASS), are used by the  private sector; colleges and universities; and local, state  and national governments to monitor shifts in agricultural  production. These estimates are based on a non-probability  sample of farming operations in a state, so, as Stasny,  Goel, et. al. (1995) point out, they cannot be generated  using traditional estimation methods based on known  selection probabilities.  Statisticians at The Ohio State  University, under a cooperative agreement with NASS, have  developed a county yield estimation algorithm based on the  assumption that neighboring counties have similar yields.   The algorithm is a mixed-effects model which uses  post-stratification on total land operated and allows for  differences in yield by county’ and farm size.  This report  presents the results of a simulation study designed to  assess the effectiveness and reliability of the algorithm.   The results indicate that the algorithm produces improved  yield estimates when compared to standard ratio estimates.   This paper briefly discusses the spatial methodology used  in the model, explores potential problems with the  algorithm, examines the results of preliminary testing and  suggests several steps that should be taken in preparation  for operational implementation.},
      url = {http://ageconsearch.umn.edu/record/322811},
      doi = {https://doi.org/10.22004/ag.econ.322811},
}