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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2016
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| Materias: | |
| 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 |