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/7113762

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

• Item record in Zenodo
• Digital object URL

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. JEDC. https://doi.org/10.1016/j.jedc.2022.104527

Folder description:

- code:

This folder contains the basic scripts to construct the initialisation data and to run the economic model.

    * 0_basic_data_uk_55sectors.R organises the WIOD (www.wiod.org) data

    * 0_basic_data_IHS_matrices.R organises the input criticality data, i.e. the results from the survey conducted with IHS industry analysts

    * 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.7113762
• Language: en

Subjects

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

Dates

• Publication date: 2022
• Issued: September 27, 2022

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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