Forecasting Social Conflicts in Africa Using an Epidemic Type Aftershock Sequence Model

Gilian van den Hengel and Philip Hans Franses
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Gilian van den Hengel: ABNAMRO Bank, Gustav Mahlerlaan 102, 1082 PP Amsterdam, The Netherlands

Forecasting, 2020, vol. 2, issue 3, 1-25

Abstract: We propose to view social conflicts in Africa as having similarities with earthquake occurrences and hence to consider the spatial-temporal Epidemic Type Aftershock Sequence (ETAS) model. The parameters of this highly parameterized model are estimated through simulated annealing. We consider data for 2012 to 2016 to calibrate the model for four African regions separately, and we consider the data for 2017 to evaluate the forecasts. These forecasts concern the amount of future large events as well as their locations. Examples of our findings are that the model predicts a cluster of large events in the Central Africa region, which was not expected based on past events, and that in particular for East Africa it apparently holds that small conflicts can trigger a larger number of conflicts.

Keywords: ETAS model; social conflicts; Africa; forecasting (search for similar items in EconPapers)
JEL-codes: A1 B4 C0 C1 C2 C3 C4 C5 C8 M0 Q2 Q3 Q4 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Forecasting social conflicts in Africa using an Epidemic Type Aftershock Sequence model (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jforec:v:2:y:2020:i:3:p:16-308:d:397675

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