The Structure of Food Demand: Interrelatedness and Duality
提出一种新的经验需求系统，缓解多重共线性并衡量食品间的相互关联性，利用对偶理论推导逆需求函数，基于14种食品数据估计完整需求方程，检验理论约束和习惯形成假说。
Abstract This paper presents a new empirical demand system which mitigates the effects of multicollinearity while facilitating the measurement of interrelatedness. Duality theory is used to derive the inverse demand functions. Using data on fourteen food items a complete set of demand equations is estimated in both quantity and price dependent forms. The model is used to test for the theoretical restrictions of homogeneity, additivity and negativity, as well as the habit formation hypothesis. A comparison is made between these results and those of Brandow and George and King.