Template-Type: ReDIF-Paper 1.0
Title: Synthetic supply networks
Abstract: A good representation of the population of firms and households is essential for large-scale economic models. While there exist good methods to create synthetic populations of households, creating synthetic populations of firms and, crucially, their supply chain links, is typically much harder. Here, we introduce a flexible method to create synthetic supply networks that match both the known properties of firm-level supply networks and the properties of aggregated input-output tables used in macroeconomic models. Our method is fast, and because it uses only publicly available data, it is fully reproducible and can be easily extended.
Author-Name: Ng, Galvin
Author-Email: galvin.ng@wu.ac.at
Author-Workplace-Name: Vienna University of Economics and Business
Author-Name: Mungo, Luca
Author-Name: Bertrand, Damien
Author-Workplace-Name: École Polytechnique Fédérale de Lausanne, Switzerland
Author-Name: Lafond, François
File-URL: https://oms-inet.files.svdcdn.com/production/files/Synthetic_Supply_Networks_WP_Jul_26.pdf?dm=1785504678
File-Format: Application/pdf
File-Function: 
Keywords: Synthetic population, Supply networks, Loss optimization
Length: 34 pages
Creation-Date: 2026-07
Handle: RePEc:amz:wpaper:2026-18