《计量经济学杂志》是重要的、高质量的、新的理论和应用计量学研究的出口。该期刊的范围包括有关经济研究中遇到的识别、估计、测试、决策和预测问题的论文。经典的贝叶斯统计和机器学习方法,无疑是在杂志的兴趣范围内。《计量经济学年鉴》是《计量经济学杂志》的补充。《年鉴》的每一期都是关于该期客座编辑提出的主题的参考论文集。
The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal's interests. The Annals of Econometrics is a supplement to the Journal of Econometrics. Each issue of the Annals is a collection of refereed papers on a topic proposed by the guest editor of the issue.
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