Literature DB >> 33651819

V-, U-, L- or W-shaped economic recovery after Covid-19: Insights from an Agent Based Model.

Dhruv Sharma1,2, Jean-Philippe Bouchaud2,3, Stanislao Gualdi3, Marco Tarzia4,5, Francesco Zamponi1.   

Abstract

We discuss the impact of a Covid-19-like shock on a simple model economy, described by the previously developed Mark-0 Agent-Based Model. We consider a mixed supply and demand shock, and show that depending on the shock parameters (amplitude and duration), our model economy can display V-shaped, U-shaped or W-shaped recoveries, and even an L-shaped output curve with permanent output loss. This is due to the economy getting trapped in a self-sustained "bad" state. We then discuss two policies that attempt to moderate the impact of the shock: giving easy credit to firms, and the so-called helicopter money, i.e. injecting new money into the households savings. We find that both policies are effective if strong enough. We highlight the potential danger of terminating these policies too early, although inflation is substantially increased by lax access to credit. Finally, we consider the impact of a second lockdown. While we only discuss a limited number of scenarios, our model is flexible and versatile enough to accommodate a wide variety of situations, thus serving as a useful exploratory tool for a qualitative, scenario-based understanding of post-Covid recovery. The corresponding code is available on-line.

Entities:  

Year:  2021        PMID: 33651819     DOI: 10.1371/journal.pone.0247823

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  5 in total

1.  Forecasting the propagation of pandemic shocks with a dynamic input-output model.

Authors:  Anton Pichler; Marco Pangallo; R Maria Del Rio-Chanona; François Lafond; J Doyne Farmer
Journal:  J Econ Dyn Control       Date:  2022-09-13

2.  Does the shape of economic recovery matter? An alternative unit root test with new smooth transition model.

Authors:  Mehmet Özcan
Journal:  J Econ Asymmetries       Date:  2022-06-11

3.  When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?

Authors:  Christopher B Lutz; Philippe J Giabbanelli
Journal:  Adv Theory Simul       Date:  2021-11-23

4.  Using simulation modelling and systems science to help contain COVID-19: A systematic review.

Authors:  Weiwei Zhang; Shiyong Liu; Nathaniel Osgood; Hongli Zhu; Ying Qian; Peng Jia
Journal:  Syst Res Behav Sci       Date:  2022-08-19

5.  Radical Complexity.

Authors:  Jean-Philippe Bouchaud
Journal:  Entropy (Basel)       Date:  2021-12-14       Impact factor: 2.524

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.