[go: up one dir, main page]

  EconPapers    
Economics at your fingertips  
 

Face Masks Considerably Reduce Covid-19 Cases in Germany

Timo Mitze, Reinhold Kosfeld (), Johannes Rode and Klaus Wälde

No 2016, Working Papers from Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz

Abstract: We use the synthetic control method to analyze the effect of face masks on the spread of Covid-19 in Germany. Our identification approach exploits regional variation in the point in time when face masks became compulsory. Depending on the region we analyse, we find that face masks reduced the cumulative number of registered Covid-19 cases between 2.3% and 13% over a period of 10 days after they became compulsory. Assessing the credibility of the various estimates, we conclude that face masks reduce the daily growth rate of reported infections by around 40%.

Keywords: Covid-19; public health measures; face masks; synthetic control method; Germany (search for similar items in EconPapers)
JEL-codes: C23 I18 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2020-06-03
New Economics Papers: this item is included in nep-eur and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (75)

Downloads: (external link)
https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2016.pdf First version, 2020 (application/pdf)

Related works:
Working Paper: Face masks considerably reduce COVID-19 cases in Germany (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jgu:wpaper:2016

Access Statistics for this paper

More papers in Working Papers from Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz Contact information at EDIRC.
Bibliographic data for series maintained by Research Unit IPP ().

 
Page updated 2024-10-12
Handle: RePEc:jgu:wpaper:2016