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korenmiklos committed Jul 2, 2020
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2 changes: 1 addition & 1 deletion README.md
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# Citation
Please cite as

> Koren, Miklós, and Rita Pető. 2020. “Business Disruptions from Social Distancing.” Covid Economics. Centre for Economic Policy Research. arXiv. http://arxiv.org/abs/2003.13983.
> Koren, Miklós, and Rita Pető. 2020. “Business Disruptions from Social Distancing.” arXiv. http://arxiv.org/abs/2003.13983.
> ```
> @ARTICLE{Koren2020-mk,
> title = "Business disruptions from social distancing",
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2 changes: 1 addition & 1 deletion text/content.tex
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Third, businesses may change their location in response to perceived threats and disruptions. Epidemics have a disproportionate effect on cities. So it is conceivable that in a post-pandemic spatial equilibrium (not modeled here, but see \cite{Tian2019-wq}), the agglomeration premium falls and firms find it less attractive to locate in cities. A poignant point of comparison is the increased threat of terrorism in major cities following devastating attacks on New York, Washington, London, Paris, Madrid, Moscow and Mumbai. The general conclusion about terror threat is that cities have remained resilient and a robust attractor of businesses \cite{Glaeser2002-mw,Harrigan2002-ik}. We speculate that epidemics and social distancing can be more detrimental to cities than terror threats, because they tear apart the very fabric of urban life. However, we have limited data to make further predictions.

\section*{Data Availability Statement}
The mobility data used in this paper \cite{SafeGraph2020-gn} is confidential, but may be obtained free of charge for COVID-19-related research from the COVID-19 Consortium. Researchers interested in access to the data can apply at https://www.safegraph.com/covid-19-data-consortium. After signing a Data Agreement, access is granted within a few days. The authors will assist with any reasonable replication attempts for two years following publication.
The mobility data used in this paper \cite{SafeGraph2020-gn} is confidential, but may be obtained free of charge for COVID-19-related research from the COVID-19 Consortium. Researchers interested in access to the data can apply at \url{https://www.safegraph.com/covid-19-data-consortium}. After signing a Data Agreement, access is granted within a few days. The authors will assist with any reasonable replication attempts for two years following publication.

The code and all other data underlying our analysis are licensed for public use and will be made available on Zenodo.

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