About: Evidence of economic segregation from mobility lockdown during COVID-19 epidemic

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About: Evidence of economic segregation from mobility lockdown during COVID-19 epidemic 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
title	Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
Creator	Bonaccorsi, Giovanni Cinelli, Matteo Flori, Andrea Galeazzi, Alessandro Pammolli, Fabio Pierri, Francesco Porcelli, Francesco Quattrociocchi, Walter Scala, Antonio Schmidt, Ana Valensise, Carlo
source	ArXiv
abstract	In response to the COVID-19 pandemic, National governments have applied lockdown restrictions to reduce the infection rate. We perform a massive analysis on near real-time Italian data provided by Facebook to investigate how lockdown strategies affect economic conditions of individuals and local governments. We model the change in mobility as an exogenous shock similar to a natural disaster. We identify two ways through which mobility restrictions affect Italian citizens. First, we find that the impact of lockdown is stronger in municipalities with higher fiscal capacity. Second, we find a segregation effect, since mobility restrictions are stronger in municipalities for which inequality is higher and where individuals have lower income per capita.
has issue date	2020-04-11(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c0b561d09eef775c862a1bee9559f1c707f42e97
resource representing a document's title	Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
resource representing a document's body	covid:c0b561d09eef775c862a1bee9559f1c707f42e97#body_text
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