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Published September 27, 2022 | Version v3
Software Open

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

  • 1. University of Oxford
  • 2. Sant'Anna School of Advanced Studies

Description

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.

Files

covid19inputoutput.zip

Files (560.5 MB)

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md5:ea69b9a9ae727417353eb9d52397ad39
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Additional details

Related works

Is supplement to
Preprint: https://arxiv.org/abs/2005.10585 (URL)