Correcting for Measurement Error in Food Demand Estimation
提出一种方法，纠正用消失数据替代实际消费导致的测量误差，以牛肉为例估计零售需求弹性为-0.45，比传统方法更缺乏弹性，适用于其他食品。
Use of disappearance data as proxies for actual consumption causes inconsistent estimates of own-price retail demand elasticities. A system of equations describing consumer, processor, and producer behavior is used to consistently estimate the retail demand elasticity for beef using available data while avoiding the restrictive assumption of fixed input proportions implicit in disappearance data. This approach yields an estimate of the own-price retail demand elasticity for beef of -0.45, which is more inelastic than the estimate (-0.66) obtained using a traditional approach. The methodology is applicable to other food commodities for which disappearance data serve as proxies for actual consumption. Copyright 1993 by MIT Press.