Estimation of a Composite Food Demand System for the United States
开发了估计完整需求系统参数的统计方法，采用约束最大似然法并引入经典需求理论的参数限制，应用于美国12类食品和1个非食品部门的数据。
This study develops statistical procedures for computing the parameters of a complete demand system. A constrained maximum likelihood method has been applied, and parametric restrictions derived from classical demand theory are introduced by a substitution approach. The procedures are then applied to U.S. data for estimating a composite food demand system covering 12 food categories and one nonfood sector.