About: A lockdown index to assess the economic impact of the coronavirus

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About: A lockdown index to assess the economic impact of the coronavirus Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A lockdown index to assess the economic impact of the coronavirus
Creator	Faber, Marius Ghisletta, Andrea Schmidheiny, Kurt
Source	PMC
abstract	Like most countries, the Swiss government adopted drastic measures to stop the spread of the coronavirus. These measures were aimed at avoiding close physical proximity between people. The adverse economic consequences of this lockdown policy became immediately apparent, with almost two million workers, or more than every third worker in Switzerland, being put on short-time work within only 6 weeks after the policy’s implementation. In an attempt to promptly assess the heterogeneous consequences of this lockdown policy, we computed a lockdown index. This index is based on an occupation’s dependence on physical proximity to other people and corrected for certain essential sectors being exempt from this policy. We find that on average, 31% of jobs in Switzerland have been potentially restricted by the lockdown policy. This average masks considerable heterogeneity along many dimensions, with the strongest effects for the large industries hospitality, construction, and arts and entertainment. With respect to the regional variation, we find the strongest effects for the cantons of Obwalden, Uri, Appenzell Innerrhoden, and Valais. Moreover, low- and middle-income individuals are considerably more restricted than high-income ones. We do not find meaningful differences between men and women or urban and rural areas. Finally, we test the explanatory power of the lockdown index for short-time work and unemployment increases by canton and industry until the end of April 2020 and find that it can explain up to 58% of these short-term employment outcomes.
has issue date	2020-08-28(xsd:dateTime)
bibo:doi	10.1186/s41937-020-00056-8
has license	cc-by
sha1sum (hex)	435982ae2b28d532de179f0b376329ee61ed4d7b
schema:url	https://doi.org/10.1186/s41937-020-00056-8
resource representing a document's title	A lockdown index to assess the economic impact of the coronavirus
has PubMed Central identifier	PMC7453704
schema:publication	Swiss J Econ Stat
resource representing a document's body	covid:435982ae2b28d532de179f0b376329ee61ed4d7b#body_text
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