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UID:event-8037@www.amse-aixmarseille.fr
DTSTAMP:20260530T121430Z
CREATED:20260530T121430Z
LAST-MODIFIED:20260530T121430Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Christian Hafner
DTSTART:20210323T130000Z
DTEND:20210323T143000Z
DESCRIPTION:As the COVID-19 pandemic has had a profound impact on public he
 alth and global economies in 2020\; it is crucial to understand how it deve
 loped and spread in time and space. This paper contributes to the growing l
 iterature by considering the dynamics of country-wise growth rates of infec
 tion numbers. Low-order serial correlation of growth rates is predominantly
  negative with cycles of two to four days for most countries. The results o
 f fitted spatial autoregressive models suggest that there is high degree of
  spillover between countries. Forecast variances of many countries\, in par
 ticular those with a high absolute number of infections\, can to a large ex
 tent be explained by structural innovations of other countries. A better un
 derstanding of the serial and spatial dynamics of the spread of the pandemi
 c may contribute to an improved containment and risk management.\\n\\nConta
 ct: Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel: pierre.mic
 hel[at]univ-amu.fr\n\nPlus d'informations: https://www.amse-aixmarseille.fr
 /en/events/christian-hafner-2
URL;VALUE=URI:https://www.amse-aixmarseille.fr/en/events/christian-hafner-2
CONTACT:Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel:&nbsp\;p
 ierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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