Arbeitspapier

A structural model of coronavirus behaviour for testing on data behaviour

We fit the logistic function, the reduced form of epidemic behaviour, to the data for deaths from Covid-19, for a wide variety of countries, with a view to estimating a causal model of the covid virus' progression. We then set out a structural model of the Covid virus behaviour based on evolutionary biology and social household behaviour; we estimated and tested this by indirect inference, matching its simulated logistic behaviour to that found in the data. In our model the virus' progression depends on the interaction of strategies by household agents, the government and the virus itself as programmed by evolution. Within these interactions, it turns out that there is substitution between government topdown direction (such as lockdown) and social reaction to available information on the virus'behaviour. We also looked at experience of second waves, where we found that countries successfully limited second waves when they had had longer first waves and followed policies of localised reaction in the second.

Sprache
Englisch

Erschienen in
Series: Cardiff Economics Working Papers ; No. E2020/4

Klassifikation
Wirtschaft
Quantitative Policy Modeling
Health Behavior
Thema
coronavirus
Covid-19
evolution
optimisation
indirect inference
lockdown

Ereignis
Geistige Schöpfung
(wer)
Meenagh, David
Minford, Patrick
Ereignis
Veröffentlichung
(wer)
Cardiff University, Cardiff Business School
(wo)
Cardiff
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Meenagh, David
  • Minford, Patrick
  • Cardiff University, Cardiff Business School

Entstanden

  • 2021

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