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Interpreting estimates of forecast bias

机译:解释预测偏差的估计

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This paper resolves differences in results and interpretation between Ericsson's (2017) and Gamber and Liebner's (2017) assessments of forecasts of U.S. gross federal debt. As Gamber and Liebner (2017) discuss, heteroscedasticity could explain the empirical results in Ericsson (2017). However, the combined evidence in Ericsson (2017) and Gamber and Liebner (2017) supports the interpretation that these forecasts have significant time varying biases. Both Ericsson (2017) and Gamber and Liebner (2017) advocate using impulse indicator saturation in empirical modeling. Published by Elsevier B.V. on behalf of International Institute of Forecasters.
机译:本文解决了爱立信(2017)与Gamber和Liebner(2017)对美国联邦总债务预测的评估之间的结果和解释上的差异。正如Gamber和Liebner(2017)讨论的那样,异方差可以解释爱立信(2017)中的经验结果。但是,爱立信(2017)和Gamber and Liebner(2017)的综合证据支持了这些预测具有明显的时变偏差的解释。爱立信(2017)以及Gamber和Liebner(2017)都主张在经验模型中使用脉冲指标饱和度。由Elsevier B.V.代表国际预测协会出版。

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