A Bayesian policy learning model of COVID-19 non-pharmaceutical interventions-Reference-Cited by-同舟云学术

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A Bayesian policy learning model of COVID-19 non-pharmaceutical interventions

Published:2023-04-19 Issue: Volume: Page:1-21
ISSN:0003-6846
Container-title:Applied Economics
language:en
Short-container-title:Applied Economics

Author:

Mamatzakis Emmanuel¹,Ongena Steven²,Patel Pankaj C.³^ORCID,Tsionas Mike⁴

Affiliation:

1. Department of Management, Birkbeck, University of London, Bloomsbury, London, UK

2. Department of Banking and Finance, University of Zurich, Zurich, UK

3. Villanova School of Business, Villanova University, Villanova, PA, USA

4. Montpellier Business School, Montpellier, Lancaster, UK

Publisher

Informa UK Limited

Subject

Economics and Econometrics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00036846.2023.2203462

Reference36 articles.

1. Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata

2. Preparing for a future COVID-19 wave: insights and limitations from a data-driven evaluation of non-pharmaceutical interventions in Germany

3. Policy Learning With Observational Data

4. Modeling COVID-19 hospital admissions and occupancy in the Netherlands

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Policy learning and the COVID‐19 crisis: A systematic review of scholarship and key lessons for research and practice;Australian Journal of Public Administration;2023-07-21

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