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Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses

Bibliographic Data

ID11080860
AuthorsAlberto Bisin (0000-0002-5389-0524, New York University, corresponding author), Andrea Moro (0000-0002-6602-5871, Vanderbilt University)
Year2022
Volume127
Pages103368
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Urban Economics (JOURNAL)
Journal identifiersISSN: 0094-1190 • E-ISSN: 1095-9068
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jue.2021.103368
OpenAlexW3171914561
LanguageEN
Citations received8
References cited56

Affect (linguistics · Cognitive psychology · Distribution (mathematics · Econometrics · Economic geography · Economics · Geography · Herd immunity · Matching (statistics · Population · Sociology · Statistics · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Psychology

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  • Moral Force

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  • Application of an Epi-Econ-Model to Analyze Covid-19 Lockdown Policies in the Netherlands

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  • JUE Insight

    Open Access•Dhaval Dave, Andrew Friedson et al.•Journal of Urban Economics•2022

  • JUE Insight

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  • The distributional impact of Covid-19

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Unique citing works8
Citations per year1,33
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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