Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures
Luca Bonacini, Giovanni Gallo, Fabrizio Patriarca
| Year of publication: |
2021
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|---|---|
| Authors: | Bonacini, Luca ; Gallo, Giovanni ; Patriarca, Fabrizio |
| Published in: |
Journal of population economics : international research on the economics of population, household, and human resources. - Berlin : Springer, ISSN 1432-1475, ZDB-ID 1459367-1. - Vol. 34.2021, 1, p. 275-301
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| Subject: | COVID-19 | Coronavirus | Lockdown | Machine learning | Lock-down | Wirkungsanalyse | Impact assessment | Künstliche Intelligenz | Artificial intelligence | Infektionsschutz | Infection control |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s00148-020-00799-x [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012418160