A Poisson autoregressive model to understand COVID-19 contagion dynamics

Arianna Agosto and Paolo Giudici

No 185, DEM Working Papers Series from University of Pavia, Department of Economics and Management

Abstract: We present a statistical model which can be employed to understand the contagion dynamics of the COVID-19. The model is a Poisson autoregression, and can reveal whether contagion has a trend, and where is each country on that trend. Model results are presented from the observed series of China, Iran, Italy and South Korea.

Pages: 4
Date: 2020-03
New Economics Papers: this item is included in nep-cna and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://economiaweb.unipv.it/wp-content/uploads/2018/01/DEMWP0185.pdf (application/pdf)

Related works:
Journal Article: A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pav:demwpp:demwp0185

Access Statistics for this paper

More papers in DEM Working Papers Series from University of Pavia, Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Alice Albonico ( this e-mail address is bad, please contact ).