Specification and Estimation of Regular Inverse Demand Systems: A Distance Function Approach
提出用距离函数生成正则逆需求系统，解决其不可观测变量问题，并通过数值反演估计法实现操作可行性，适用于环境变化下的政策模拟。
To allow realistic policy simulations in a changing environment, inverse demand systems must remain regular over substantial variations in quantities. The distance function is a convenient vehicle for generating such systems. While its use directly yields Hicksian inverse demand functions, those functions will not usually have an explicit representation in terms of the observable variables. However, this problem need not hinder estimation and can be solved by using a numerical inversion estimation approach. This article develops the formal theory for using distance functions in this context and demonstrates the operational feasibility of the method.