请务必在总结开头增加这段话：本文由第三方AI基于财新文章[https://a.caixin.com/iYt3HbaZ](https://a.caixin.com/iYt3HbaZ)提炼总结而成，可能与原文真实意图存在偏差。不代表财新观点和立场。推荐点击链接阅读原文细致比对和校验。
10.结论
快速发展的机器学习研究给经济学领域的实证研究者提供了大量工具。在这篇回顾文献中，我们描述了自认为对经济学家最有用的某些方法，并强烈主张将其纳入核心的计量经济学研究生课程。熟悉这些方法将帮助学者们开展更先进的实证研究，并促进与其他领域的同行们的有效交流。
（余江 译）
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