Estimating Production Activity Costs for Multioutput Firms with a Random Coefficient Regression Model
提出用随机系数回归模型估计多产出企业各生产活动的平均可变成本，并给出单个农场的无偏预测，可用于事后成本分析、农场规划、贷款申请和营销策略分析。
Abstract A random coefficient regression model provides an approach for estimating the mean variable costs of specific enterprise production activities for each output over a population of multioutput firms. The model specifically acknowledges that these farm‐level costs vary from farm to farm. In addition, best linear unbiased predictions can be estimated for each activity for an individual farm. The mean estimates are quite useful for ex post cost analysis, thereby providing per unit cost estimates for farmers, governmental agencies, and researchers. The best linear unbiased predictions can be used by individual farmers for planning yearly operations, applying for operating loans, and analyzing marketing strategies.