Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Russel, Dominic"'
Autor:
Bailey, Michael, Johnston, Drew, Kuchler, Theresa, Russel, Dominic, State, Bogdan, Stroebel, Johannes
In this online appendix we provide additional information and analyses to support "The Determinants of Social Connectedness in Europe." We include a number of case studies illustrating how language, history, and other factors have shaped European soc
Externí odkaz:
http://arxiv.org/abs/2007.12177
We use aggregated data from Facebook to show that COVID-19 is more likely to spread between regions with stronger social network connections. Areas with more social ties to two early COVID-19 "hotspots" (Westchester County, NY, in the U.S. and Lodi p
Externí odkaz:
http://arxiv.org/abs/2004.03055
Publikováno v:
In Journal of Urban Economics January 2022 127
Autor:
Bailey, Michael, Johnston, Drew, Koenen, Martin, Kuchler, Theresa, Russel, Dominic, Stroebel, Johannes
We use de-identified data from Facebook to study the social integration of Syrian migrants in Germany, a country that received a large influx of refugees during the Syrian Civil War. We construct measures of migrants’ social integration based on Sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::091407ceefb53de744fae028e3f33eaa
https://hdl.handle.net/10419/260810
https://hdl.handle.net/10419/260810
We use aggregated data from Facebook to study the structure of social networks across European regions. Social connectedness declines strongly in geographic distance and at country borders. Historical borders and unions — such as the Austro-Hungari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::f7ffb0d7630e3c8d14fded97eaf5babe
https://hdl.handle.net/10419/219128
https://hdl.handle.net/10419/219128
Autor:
Bailey, Michael, Johnston, Drew, Koenen, Martin, Kuchler, Theresa, Russel, Dominic, Stroebel, Johannes
We explore how social network exposure to COVID-19 cases shapes individuals’ social distancing behavior during the early months of the ongoing pandemic. We work with de-identified data from Facebook to show that U.S. users whose friends live in are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::4077b727c964f44fe2b2c524d6d67cb6
https://hdl.handle.net/10419/229589
https://hdl.handle.net/10419/229589
We use anonymized and aggregated data from Facebook to show that areas with stronger social ties to two early COVID-19 "hotspots" (Westchester County, NY, in the U.S. and Lodi province in Italy) generally have more confirmed COVID-19 cases as of Marc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::b6a86642ea9851084ec024eedc56d52a
https://hdl.handle.net/10419/216637
https://hdl.handle.net/10419/216637
Autor:
Bailey, Michael1 (AUTHOR), Johnston, Drew2 (AUTHOR), Koenen, Martin2 (AUTHOR), Kuchler, Theresa3 (AUTHOR), Russel, Dominic2 (AUTHOR), Stroebel, Johannes3 (AUTHOR)
Publikováno v:
Journal of Political Economy Microeconomics. Aug2024, Vol. 2 Issue 3, p463-494. 32p.