Tracking the Impact of the Covid-19 Pandemic with the Use of High-Frequency Geo-Located Bank Transaction Data

Date
2022-01-04
Authors
Neuteboom, Nora
Kapetanios, George
Ventouri, Alexia
Ritsema, Feiko
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Using geo-located transaction data from 2 million customers of ABN AMRO bank in the Netherlands, this paper distinguishes the economic effects of consumers responses to the Covid-19 pandemic from those attributable to non-pharmaceutical interventions (NPIs). We compare municipalities that experienced large Covid-19 outbreaks with municipalities that had few or no cases and find that during the first Covid-19 wave the scale of the outbreak in a municipality has a strong negative effect on physical transactions by consumers in that municipality. This behavioral response function of consumers towards the virus is however not constant over time. During the second Covid-19 wave, the behavioural effect of consumers towards the virus has no real impact on consumption.
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Geospatial Big Data Analytics, covid-19, economics, geo-located data, high-frequency data
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11 pages
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Proceedings of the 55th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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