Causal Ordering and Beyond
提出一种基于图论的方法，用于探索宏观经济模型规范中的逻辑含义，帮助研究者理解大型复杂模型的结构，从而更有效地进行模拟和扰动分析。
Constant improvement of computing facilities creates a trend to build always larger macroeconomic models. To master these huge and complex models, much effort must be spent to investigate their functioning, mostly by means of simulations or perturbations of their original structure. Such investigations can be greatly facilitated if one has a sound knowledge of the logical structure of the model. This paper presents a graph theory-based methodology that explores the logical implications of a model's specification. Copyright 1992 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.