Evidence of Economic Segregation from Mobility Lockdown During COVID-19 Epidemic
| Autor: | Alessandro Galeazzi, Walter Quattrociocchi, Andrea Flori, Ana Lucia Schmidth, Carlo Michele Valensise, Giovanni Bonaccorsi, Francesco Porcelli, Francesco Pierri, Fabio Pammolli, Matteo Cinelli, Antonio Scala |
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| Rok vydání: | 2020 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Physics - Physics and Society Coronavirus disease 2019 (COVID-19) Inequality media_common.quotation_subject FOS: Physical sciences Computer Science - Social and Information Networks Physics and Society (physics.soc-ph) Affect (psychology) Economics Per capita Social consequence Demographic economics Segregation effect Natural disaster Lower income media_common |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3573609 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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