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

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Date

2020

Publication type

Contribution to a conference collection

Publication status

Published

Published in

London Stata Conference 2020

Abstract

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.

Subject (DDC)

300 Social Sciences, Sociology

Conference

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

Cite This

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, Sep 10, 2020 - Sep 11, 2020. In: London Stata Conference 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 of original publication

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

Test date of URL

2020-10-09

Bibliography of Konstanz

Yes