Quantities of Interest for Interactions and the Pitfalls of Assuming Linear Treatment Effects
Although quantitative social sciences often rely on estimating models in which treatment effects vary across groups, researchers rarely specify which causal quantity they aim to estimate or justify their empirical modeling choices. This article makes two contributions. First, it clarifies the distin...
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| Formato: | Artigo |
| Idioma: | Inglês |
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Society for Sociological Science
2026-08-01
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| Series: | Sociological Science |
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| Acceso en liña: | https://sociologicalscience.com/articles-v13-36-945/ |
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