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Using Models to Estimate Hog and Pig Inventories Proceedings of a Workshop (2019) / Chapter Skim
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3 The Quarterly Hog Inventory Survey
Pages 13-18

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From page 13...
... The primary estimates derived from the survey include total inventory, breeding herd, market inventory by weight class (<50 lbs., 50–119 lbs., 120–179 lbs., and 180+ lbs.) , sows farrowed, and pig crop (the latter two reported monthly for the previous quarter)
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From page 14...
... They have a combined target CV of 6 percent. A stratified random sample is designed for each state.
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From page 15...
... Mail and web are ideal due to data collection costs. However, telephone follow-ups help collect data, and some personal interviews are conducted with larger operations who require special accommodations.
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From page 16...
... Once data analysis is completed, all data are deemed clean and the process moves to a summary stage. DISEASE SPREAD Abayomi described shocks, followed by challenges for modeling given the way disease spreads and can be reported in the data.
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From page 17...
... replied that they tend to get data from the largest operations because NASS makes extra efforts to reach them and, if efforts fail, NASS imputes for them. The middle-sized operations, with hog inventories ranging from 5,000 to 20,000, have the highest nonresponse rates.
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From page 18...
... Harper replied that for partial responses, she thinks NASS uses manual imputation using the data reported, as well as historical data provided by that operator. Lee Schulz (Iowa State)
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Key Terms

  • time series
  • list frame
  • inventory survey
  • larger operations
  • hog inventories

  • nass list
  • agricultural operations
  • series models
  • disease spread
  • nol records

  • deemed clean
  • slud asked
  • hog survey
  • past data
  • individual time

  • data reported
  • series data
  • operator time
  • market inventory
  • time span

  • data provided
  • time looking
  • using time
  • total inventory
  • health inspection

  • abayomi reported
  • substantial amount
  • imputation using
  • hurricane florence
  • survey implements


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