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Identification and estimation of the SEIRD epidemic model for COVID-19
This paper studies the SEIRD epidemic model for COVID-19. First, I show that the model is poorly identified from the observed number of deaths and confirmed cases. There are many sets of parameters that are observationally equivalent in the short run but lead to markedly different long run forecasts...
Autor principal: | Korolev, Ivan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392128/ https://www.ncbi.nlm.nih.gov/pubmed/32836680 http://dx.doi.org/10.1016/j.jeconom.2020.07.038 |
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