Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/228897
Authors: 
Gonzalez-Eiras, Martín
Niepelt, Dirk
Year of Publication: 
2020
Series/Report no.: 
Discussion Papers No. 20-09
Publisher: 
University of Bern, Department of Economics, Bern
Abstract: 
We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more tractable alternatives that offer similar degrees of "realism" and exibility. We provide results connecting the different models which can be exploited for calibration purposes. We use the expected spread of COVID-19 in the United States to exemplify our results.
Subjects: 
Epidemiology
SIR model
logistic model
Covid-19
JEL: 
I18
Document Type: 
Working Paper

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