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


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.


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 ( 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 (560.5 MB)

Name Size Download all
560.5 MB Preview Download

Additional details

Related works

Is supplement to
Preprint: (URL)