Identification of Average Treatment Effects in Nonparametric Panel Models
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866913757722050560 |
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| author | Athey, Susan Imbens, Guido |
| author_facet | Athey, Susan Imbens, Guido |
| contents | This paper studies identification of average treatment effects in a panel data setting. It introduces a novel nonparametric factor model and proves identification of average treatment effects. The identification proof is based on the introduction of a consistent estimator. Underlying the proof is a result that there is a consistent estimator for the expected outcome in the absence of the treatment for each unit and time period; this result can be applied more broadly, for example in problems of decompositions of group-level differences in outcomes, such as the much-studied gender wage gap. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19873 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Identification of Average Treatment Effects in Nonparametric Panel Models Athey, Susan Imbens, Guido Econometrics Machine Learning Methodology This paper studies identification of average treatment effects in a panel data setting. It introduces a novel nonparametric factor model and proves identification of average treatment effects. The identification proof is based on the introduction of a consistent estimator. Underlying the proof is a result that there is a consistent estimator for the expected outcome in the absence of the treatment for each unit and time period; this result can be applied more broadly, for example in problems of decompositions of group-level differences in outcomes, such as the much-studied gender wage gap. |
| title | Identification of Average Treatment Effects in Nonparametric Panel Models |
| topic | Econometrics Machine Learning Methodology |
| url | https://arxiv.org/abs/2503.19873 |