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dc.rights.licenseopenen_US
dc.contributor.authorD'ALBIS, Hippolyte
hal.structure.identifierBordeaux Sciences Economiques [BSE]
dc.contributor.authorAUGERAUD-VÉRON, Emmanuelle
dc.contributor.authorCOULIBALY, Dramane
dc.contributor.authorDESBORDES, Rodolphe
dc.date.accessioned2025-05-07T14:21:17Z
dc.date.available2025-05-07T14:21:17Z
dc.date.issued2024
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/206577
dc.description.abstractEnThis paper disentangles the relationship between COVID-19 propagation and mobility. In a theoretical model allowing mobility to be endogenously determined by the COVID-19 prevalence rate, we show that an exogenous epidemic shock has an immediate effect on mobility whereas an exogenous mobility shock influences epidemic variables with a delay. In the long run, exogenous disease contagiousness and mobility jointly shape epidemiological outcomes. The short-run theoretical result allows us to recover, empirically, the causal impacts of mobility and COVID-19 hospitalisations on each other in France. We find that hospitalisations are highly sensitive to mobility whereas mobility is little influenced by hospitalisations. In France, it seems therefore that voluntary social distancing would not have been effective to control the epidemic, in the absence of social distancing mandates.
dc.language.isoENen_US
dc.subject.enCovid-19
dc.subject.enEpidemic Models
dc.subject.enMobility
dc.title.enCovid-19 and mobility: determinant or consequence?
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00199-023-01510-3en_US
dc.subject.halSciences de l'Homme et Société/Economies et financesen_US
dc.subject.jelI - Health, Education, and Welfare::I1 - Healthen_US
dc.subject.jelC - Mathematical and Quantitative Methods::C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling::C61 - Optimization Techniques; Programming Models; Dynamic Analysisen_US
dc.subject.jelC - Mathematical and Quantitative Methods::C3 - Multiple or Simultaneous Equation Models; Multiple Variables::C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Modelsen_US
bordeaux.journalEconomic Theoryen_US
bordeaux.page261–282en_US
bordeaux.volume77en_US
bordeaux.hal.laboratoriesBordeaux Sciences Economiques / Bordeaux School of Economics (BSE) - UMR 6060en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
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