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Estimating the Counterfactual: How Many Uninsured Adults Would There Be Today Without the ACA?
Time lags in receiving data from long-standing, large federal surveys complicate real-time estimation of the coverage effects of full Affordable Care Act (ACA) implementation. Fast-turnaround household surveys fill some of the void in data on recent changes to insurance coverage, but they lack the h...
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5798725/ https://ncbi.nlm.nih.gov/pubmed/27076474 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0046958016634991 |
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