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Titlebook: Econometrics with Machine Learning; Felix Chan,László Mátyás Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

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發(fā)表于 2025-3-23 11:17:36 | 只看該作者
Fairness in Machine Learning and Econometrics,y projecting the unconstrained index into the null space of this operator or by directly finding the closest solution of the functional equation into this null space.We also acknowledge that policymakers may incur costs when moving away from the status quo. . is thus introduced as an intermediate se
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發(fā)表于 2025-3-23 13:51:20 | 只看該作者
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發(fā)表于 2025-3-23 20:12:57 | 只看該作者
1570-5811 heory and in practice.Takes a multidisciplinary approach in This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.?.Throughout the volume, the authors r
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發(fā)表于 2025-3-24 00:25:53 | 只看該作者
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發(fā)表于 2025-3-24 04:31:32 | 只看該作者
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發(fā)表于 2025-3-24 10:24:38 | 只看該作者
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發(fā)表于 2025-3-24 14:13:44 | 只看該作者
Martin Gro?,Birgit Hennig,Frank Wallhoff use of partially penalized methods for statistical inference. Monte Carlo simulations suggest that these methods perform reasonably well. Extensions of these estimators to a panel data setting are also discussed, especially in relation to fixed effects models.
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發(fā)表于 2025-3-24 16:28:10 | 只看該作者
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發(fā)表于 2025-3-24 21:26:15 | 只看該作者
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發(fā)表于 2025-3-25 01:52:43 | 只看該作者
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