Estimating causal effects: considering three alternatives to difference-in-differences estimation

Difference-in-differences (DiD) estimators provide unbiased treatment effect estimates when, in the absence of treatment, the average outcomes for the treated and control groups would have followed parallel trends over time. This assumption is implausible in many settings. An alternative assumption...

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Detalles Bibliográficos
Autores principales: O’Neill, Stephen, Kreif, Noémi, Grieve, Richard, Sutton, Matthew, Sekhon, Jasjeet S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869762/
https://www.ncbi.nlm.nih.gov/pubmed/27340369
http://dx.doi.org/10.1007/s10742-016-0146-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869762/
https://www.ncbi.nlm.nih.gov/pubmed/27340369
http://dx.doi.org/10.1007/s10742-016-0146-8

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