摘要：The level of aggregation of reported data has limited the proper accounting of liveanimals in most, if not all, livestock models, making the consistency of their underlyingbiologics suspect. We develop an econometric methodology to decompose a wide rangeof aggregate data. This was applied to estimate a disaggregated average cattle slaughterweight for calves, cows, and other cattle from total beef production data in the EuropeanUnion. The estimated model gave acceptable statistical properties and estimated slaughterweights that closely corresponded to reported sample-based slaughter weights across allcattle categories. The model has a good fit, no serial correlation, and highly significantcoefficients with consistent signs. Standard validation statistics suggest that the model isable to track well both the mean and variability of the actual average cattle slaughterweight. Furthermore, other decompositions using the same methodology were successfulin other countries–New Zealand, and Mexico; other sectors–sheep; and other aggregatedata–dairy and beef calving rates.
