Synthetic supply networks

Galvin Ng (), Luca Mungo, Damien Bertrand and François Lafond
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Galvin Ng: Vienna University of Economics and Business
Damien Bertrand: École Polytechnique Fédérale de Lausanne, Switzerland

INET Oxford Working Papers from Institute for New Economic Thinking at the Oxford Martin School, University of Oxford

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.

Keywords: Synthetic population; Supply networks; Loss optimization (search for similar items in EconPapers)
Pages: 34 pages
Date: 2026-07
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Persistent link: https://EconPapers.repec.org/RePEc:amz:wpaper:2026-18

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