A realistic representation of firms and households is essential for large-scale economic models. While robust methods exist for generating synthetic household populations, constructing synthetic populations of firms and, crucially, their supply chain linkages remains significantly more challenging. In this talk, we introduce a flexible method for generating synthetic supply networks that reproduce both the known properties of firm-level supply networks and the aggregated input-output tables commonly used in macroeconomic models. Our method is computationally efficient, fully reproducible, and relies only on publicly available data, making it straightforward to extend and apply across settings.

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