论文标题
计算经济混乱
Computing Economic Chaos
论文作者
论文摘要
经济学中的存在理论通常位于真实领域，例如经济增长，tatonnement或重叠的世代模型中混乱轨迹的发现。但是，计算示例有时会迅速汇聚到循环轨道上，而从理论上讲，它们几乎应该是非周期性的。我们解释了这一异常，这是数字近似的结果，得出的结论是，理论和数值行为仍然可以照亮真实数据的基本特征。
Existence theory in economics is usually in real domains such as the findings of chaotic trajectories in models of economic growth, tatonnement, or overlapping generations models. Computational examples, however, sometimes converge rapidly to cyclic orbits when in theory they should be nonperiodic almost surely. We explain this anomaly as the result of digital approximation and conclude that both theoretical and numerical behavior can still illuminate essential features of the real data.
