Transparency challenges in policy evaluation with causal machine learning: improving usability and accountability
Causal machine learning tools are beginning to see use in real-world policy evaluation tasks to flexibly estimate treatment effects. One issue with these methods is that the machine learning models used are generally black boxes, that is, there is no globally interpretable way to understand how a mo...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Cambridge University Press
2024-01-01
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| Seri Bilgileri: | Data & Policy |
| Konular: | |
| Online Erişim: | https://www.cambridge.org/core/product/identifier/S263232492400035X/type/journal_article |
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