Agent based models in Mata : Modelling aggregate processes, like the spread of a disease

Buis, Maarten

Agent based models in Mata : Modelling aggregate processes, like the spread of a disease

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2020

Autor:innen

Buis, Maarten

Sammlungen

Soziologie
Exzellenzcluster "Die politische Dimension von Ungleichheit"

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

London Stata Conference 2020. 2020

Zusammenfassung

An Agent Based Model (ABM) is a simulation in which agents that each follow simple rules interact with one another and thus produce an often surprising outcome at the macro level. The purpose of an ABM is to explore mechanisms through which actions of the individual agents add up to a macro outcome by varying the rules that agents have to follow or varying with whom the agent can interact (for example, varying the network). These models have many applications, like the study of segregation of neighborhoods or the adoption of new technologies. However, the application that is currently most topical is the spread of a disease. In this talk, I will give introduction on how to implement an ABM in Mata, by going through the simple models I (a sociologist, not an epidemiologist) used to make sense of what is happening with the COVID-19 pandemic.

Fachgebiet (DDC)

300 Sozialwissenschaften, Soziologie

Konferenz

26th UK Stata conference 2020 (virtual), 10. Sept. 2020 - 11. Sept. 2020, London

Zitieren

ISO 690

BUIS, Maarten, 2020. Agent based models in Mata : Modelling aggregate processes, like the spread of a disease. 26th UK Stata conference 2020 (virtual). London, 10. Sept. 2020 - 11. Sept. 2020. In: London Stata Conference 2020. 2020

BibTex

@inproceedings{Buis2020Agent-51279,
  year={2020},
  title={Agent based models in Mata : Modelling aggregate processes, like the spread of a disease},
  url={https://ideas.repec.org/p/boc/usug20/03.html},
  booktitle={London Stata Conference 2020},
  author={Buis, Maarten}
}

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URL der Originalveröffentl.

https://ideas.repec.org/p/boc/usug20/03.html

Prüfdatum der URL

2020-10-09

Universitätsbibliographie

Ja