arXiv 25 Mar 2025 · Econometrics
arXiv:2503.19873 · PDF · Extracted main text
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.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Guido W Imbens and Donald B Rubin (2015) Causal Inference in Statistics, Social, and Biomedical Sciences self | 0.843 | 3 | 3 | 100% |
| 2 | David J Aldous (1981) Representations for partially exchangeable arrays of random variables | 0.644 | 2 | 2 | 100% |
| 3 | Francine D Blau and Lawrence M Kahn (2017) The gender wage gap: Extent, trends, and explanations | 0.644 | 2 | 2 | 100% |
| 4 | Gary Chamberlain (1984) Panel data | 0.644 | 2 | 2 | 100% |
| 5 | James Lynch (1984) Canonical row-column-exchangeable arrays | 0.644 | 2 | 2 | 100% |
| 6 | Peter McCullagh (2000) Resampling and exchangeable arrays | 0.644 | 2 | 2 | 100% |
| 7 | Alberto Abadie and Javier Gardeazabal (2003) The economic costs of conflict: A case study of the basque country | 0.405 | 1 | 1 | 100% |
| 8 | Alberto Abadie, Alexis Diamond, and Jens Hainmueller (2010) Synthetic control methods for comparative case studies: Estimating the effect of california's tobacco control program | 0.405 | 1 | 1 | 100% |
| 9 | Alberto Abadie (2019) Using synthetic controls: Feasibility, data requirements, and methodological aspects | 0.405 | 1 | 1 | 100% |
| 10 | Alberto Abadie, Anish Agarwal, and Devavrat Shah (2023) A causal inference framework for data rich environments | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 43 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.