Learning from Minimal Economic Models
Learning from Minimal Economic Models
复制标题
向最小经济模型学习
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Till Grüne
中科院分区：
文献类型：
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作者：
Till Grüne
有人认为，人们可以从最小的经济模型中学习。最小模型是与现实世界不相似、与现实世界的某些特征不相似且不遵循公认规律的模型。如果构建和分析模型会影响人们对世界假设的信心，那么人们就可以从模型中学习。我认为，人们经常评估经济模型的可信度。如果模型被认为是可信的，则它被认为是相关的可能性。考虑这些相关的可能性可能会影响一个人对必然性或不可能性假设的信心。因此，人们可以从最小的经济模型中学习。
It is argued that one can learn from minimal economic models. Minimal models are models that are not similar to the real world, do not resemble some of its features, and do not adhere to accepted regularities. One learns from a model if constructing and analysing the model affects one’s confidence in hypotheses about the world. Economic models, I argue, are often assessed for their credibility. If a model is judged credible, it is considered to be a relevant possibility. Considering such relevant possibilities may affect one’s confidence in necessity or impossibility hypotheses. Thus, one can learn from minimal economic models.
可信的世界、能力和机制
影响因子：
0.9
作者：
Sugden R
通讯作者：
Sugden R