Model Evaluation and Choice
重新审视模型评估与选择的目标，提出情境一致性、先验一致性、观测一致性和规范一致性四个原则，并基于这些原则从多维度比较候选模型，用实证研究示例说明该方法的优势。
The paper begins with a reexamination of the goals of model evaluation and choice. Desirable properties for an empirical model are stated as situational, a priori, observational and specification consistency principles. If these consistency principles are accepted as a basis for model evaluation, then one obvious approach to model choice is to consider the relative goodness of the candidate models in terms of each of the four consistency principles. Specific examples from our own empirical research are used to illustrate the advantages of the suggested multidimensional approach to model evaluation and choice.