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Research software . Software . 2022
Forecasting the propagation of pandemic shocks with a dynamic input-output model
Pichler, Anton; Pangallo, Marco; del Rio-Chanona, R. Maria; Lafond, Fran��ois; Farmer, J. Doyne;
Pichler, Anton; Pangallo, Marco; del Rio-Chanona, R. Maria; Lafond, Fran��ois; Farmer, J. Doyne;
Open Access
English
Published: 20 Jan 2022
Publisher: Zenodo
Abstract
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.
Subjects
COVID-19, production networks, economic growth, macroeconomics
COVID-19, production networks, economic growth, macroeconomics
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