Building Spatial Choice Models from Aggregate Data
研究在仅有聚合数据（而非个体选择数据）时如何估计空间选择模型，以杂货店选择为例验证了逆参数估计法的可行性，并提出了标准空间选择模型的改进。
Abstract Choice model construction is usually based on information about a number of separate choice situations, for which all relevant quantities are known. This paper concerns the case where only higher level, aggregate information is available about the choice results and the prevailing conditions. We demonstrate the applicability of a generic inverse parameter estimation method in estimating a model for grocery store choice. We also propose some enhancements to standard spatial choice models and demonstrate their applicability.