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Title: Forecasting the propagation of pandemic shocks with a dynamic input-output model

Type Software Pichler, Anton, Pangallo, Marco, del Rio-Chanona, R. Maria, Lafond, François, Farmer, J. Doyne (2022): Forecasting the propagation of pandemic shocks with a dynamic input-output model. Zenodo. Software. https://zenodo.org/record/5881855

Authors: Pichler, Anton (University of Oxford) ; Pangallo, Marco (Sant'Anna School of Advanced Studies) ; del Rio-Chanona, R. Maria (University of Oxford) ; Lafond, François (University of Oxford) ; Farmer, J. Doyne (University of Oxford) ;

Links

Summary

Reproduction code and data for Pichler, Pangallo, del Rio-Chanona, Lafond, Farmer (2022): Forecasting the propagation of pandemic shocks with a dynamic input-output model

Folder description:

- code: This folder contains the basic scripts to construct the initialisation data and to run the economic model.     * 0_basic_data_IHS_matrices.R processes the IHS input data survey     * 0_basic_data_uk_55sectors.R organises the WIOD (www.wiod.org) data     * model_functions.R contains the economic model     * model_initialization.R initialises the baseline setup of the model     * main_55sectors is a sample run of the baseline model

- data: This folder contains various data which is needed to initialise the model. For example, the folder contains the relevant WIOD data, the IHS Markit survey results, inventory data, ...

- analysis: This folder contains all scripts to reproduce the results of the paper which are organized in topic-subfolders.

- results: This folder contains all results like figures and output data is saved under topic-subfolders. By default, all analysis scripts are saving output into the results folder.

More information

  • DOI: 10.5281/zenodo.5881855
  • Language: en

Subjects

  • COVID-19, production networks, economic growth, macroeconomics

Dates

  • Publication date: 2022
  • Issued: January 20, 2022

Rights


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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://arxiv.org/abs/2005.10585
IsVersionOfhttps://doi.org/10.5281/zenodo.3834115
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo