A Bayesian policy learning model of COVID-19 non-pharmaceutical interventions
Year of publication: |
2024
|
---|---|
Authors: | Mamatzakis, Emmanuel C. ; Ongena, Steven ; Patel, Pankaj ; Tsionas, Efthymios G. |
Published in: |
Applied economics. - New York, NY : Routledge, ISSN 1466-4283, ZDB-ID 1473581-7. - Vol. 56.2024, 25, p. 2990-3010
|
Subject: | COVID-19 | non- pharmaceutical interventions | Bayesian learning | household debt repayments | Coronavirus | Lernprozess | Learning process | Wirkungsanalyse | Impact assessment | Bayes-Statistik | Bayesian inference | Private Verschuldung | Private debt | Lernen | Learning | Gesundheitspolitik | Health policy | Lockdown | Lock-down |
-
Teachers on the move : evidence from a large-scale learning intervention during lockdown
Bhatia, Kartika, (2024)
-
The causal effects of lockdown policies on health and macroeconomic outcomes
Arias, Jonas E., (2022)
-
Patel, Pankaj, (2022)
- More ...
-
Why do households repay their debt in UK during the COVID-19 crisis?
Mamatzakis, Emmanuel C., (2023)
-
Does risk aversion affect bank output loss? : the case of the Eurozone
Tsionas, Efthymios G., (2020)
-
The Response of Household Debt to COVID-19 Using a Neural Networks VAR in OECD
Mamatzakis, Emmanuel C., (2022)
- More ...