Study on impacts of COVID-19 pandemic recession based on Monte Carlo simulation
Di Shang, Chang Yu, Gang Diao
| Year of publication: |
2021
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|---|---|
| Authors: | Shang, Di ; Yu, Chang ; Diao, Gang |
| Published in: |
Prague economic papers : a bimonthly journal of economic theory and policy. - Prague : Oeconomica Publ., ISSN 1210-0455, ZDB-ID 1112445-3. - Vol. 30.2021, 6, p. 724-747
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| Subject: | COVID-19 pandemic | economic recession | GDP growth rate forecasting | turning points | Monte Carlo simulation | Konjunktur | Business cycle | Monte-Carlo-Simulation | Coronavirus | Wirkungsanalyse | Impact assessment | Prognoseverfahren | Forecasting model | Epidemie | Epidemic | Simulation | Wirtschaftswachstum | Economic growth | Frühindikator | Leading indicator |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.18267/j.pep.786 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013169183