Forecasting the propagation of pandemic shocks with a dynamic input-output model
Creators
- 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)
Name | Size | Download all |
---|---|---|
md5:ea69b9a9ae727417353eb9d52397ad39
|
560.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: https://arxiv.org/abs/2005.10585 (URL)