Addressing COVID-19 outliers in BVARs with stochastic volatility
Year of publication: |
2024
|
---|---|
Authors: | Carriero, Andrea ; Clark, Todd E. ; Marcellino, Massimiliano ; Mertens, Elmar |
Published in: |
The review of economics and statistics. - Cambridge, Mass. : MIT Press, ISSN 0034-6535, ZDB-ID 207962-8. - Vol. 106.2024, 5, p. 1403-1417
|
Subject: | Coronavirus | Epidemie | Epidemic | Stochastische Volatilität | Stochastic volatility | Bayes-Statistik | Bayesian inference | VAR-Modell | VAR model | USA | United States | 1959-2021 |
-
Nowcasting "true" monthly US GDP during the pandemic
Koop, Gary, (2021)
-
Nowcasting "true" monthly U.S. GDP during the pandemic
Koop, Gary, (2021)
-
Bayesian VARs of the U.S. economy before and during the pandemic
Sznajderska, Anna, (2023)
- More ...
-
Carriero, Andrea, (2023)
-
Addressing COVID-19 outliers in BVARs with stochastic volatility
Carriero, Andrea, (2022)
-
Forecasting with Shadow-Rate VARs
Carriero, Andrea, (2021)
- More ...