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What, Why, and How: An Empiricist's Guide to Double/Debiased Machine Learning.

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Title: What, Why, and How: An Empiricist's Guide to Double/Debiased Machine Learning.
Authors: Shi, Bowen1 (AUTHOR) sbw22@mails.tsinghua.edu.cn, Mao, Xiaojie1 (AUTHOR) maoxj@sem.tsinghua.edu.cn, Yang, Mochen2 (AUTHOR) yang3653@umn.edu, Li, Bo1 (AUTHOR) libo@sem.tsinghua.edu.cn
Source: Information Systems Research (INFORMS). Jun2026, Vol. 37 Issue 2, p1259-1275. 17p.
Database: Business Source Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Information+Systems+Research+%28INFORMS%29%22">Information Systems Research (INFORMS)</searchLink>. Jun2026, Vol. 37 Issue 2, p1259-1275. 17p.
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        Value: 10.1287/isre.2024.0888
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        Text: English
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              Text: Jun2026
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