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

2020/04/11 by Giovanni Bonaccorsi, Francesco Pierri, Matteo Cinelli +9 · 26 citations
Computer Science · Mathematics · Physics and Astronomy · Psychology · Social Sciences · #COVID-19 epidemiological studies #Psychological Well-being and Life Satisfaction #Urban, Neighborhood, and Segregation Studies #cs.SI #physics.soc-ph

paper · pdf · doi:10.1073/pnas.2007658117

published as Proceedings of the National Academy of Sciences Jul 2020, 117 (27) 15530-15535

arxiv created 2020/04/11 · openalex publication_date 2020/06/18 · arxiv updated 2021/08/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
• The effect of human mobility and control measures on the COVID-19 epidemic in China

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