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| Fabiosa, Jacinto F.; Premakumar, V.. |
| Decomposition method was developed to disaggregate EU cattle slaughter weight. Model has good fit, no correlation, significant coefficients, consistent signs, and desirable Theil-validation statistics. Estimates for calves, cows, and other cattle are very close to reported weights. Application for New Zealand, Mexico, sheep sector, and dairy-beef calving rates were also successful. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Livestock Production/Industries; Research Methods/ Statistical Methods. |
| Ano: 1998 |
URL: http://purl.umn.edu/20830 |
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| Fabiosa, Jacinto F.; Premakumar, V.. |
| The level of aggregation of reported data has limited the proper accounting of live animals in most, if not all, livestock models, making the consistency of their underlying biologics suspect. We develop an econometric methodology to decompose a wide range of aggregate data. This method is applied to estimate a disaggregated average cattle slaughter weight for calves, cows, and other cattle from total beef production data in the European Union. The estimated model gave acceptable statistical properties and estimated slaughter weights that closely correspond to reported sample-based slaughter weights across all cattle categories. The model has a good fit, no serial correlation, and highly significant coefficients with consistent signs. Standard validation... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Livestock Production/Industries. |
| Ano: 1998 |
URL: http://purl.umn.edu/18639 |
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