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Assessing the accuracy of the aggregate law of motion in models with heterogeneous agents

机译:评估具有异构主体的模型中的总运动定律的准确性

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This paper shows that the R~2 and the standard error have fatal flaws and are inadequate accuracy tests. Using data from a Krusell-Smith economy, I show that approximations for the law of motion of aggregate capital, for which the true standard deviation of aggregate capital is up to 14% (119%) higher than the implied value and which are thus clearly inaccurate, can have an R~2 as high as 0.9999 (0.99). Key in generating a more powerful test is that predictions of the aggregate law of motion are not updated with the aggregated simulated individual data.
机译:本文表明,R〜2和标准误差存在致命缺陷,并且精度测试不足。使用来自Krusell-Smith经济体的数据,我证明了总资本运动定律的近似值,对于该定律,总资本的真实标准差比隐含值高14%(119%),因此显然不准确,R〜2可能高达0.9999(0.99)。生成更强大的测试的关键在于,不会使用汇总的模拟个体数据来更新汇总运动定律的预测。

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