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Andrea Bacilieri

@abacilieri.bsky.social
89 followers 129 following 8 posts

Postdoc @oxmartinschool.bsky.social | Research fellow @inetoxford.bsky.social | Complexity economics, food systems, supply chains, climate change, sustainability | www.andreabacilieri.com

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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
Bottom line: Understand measurement before studying production networks, as it shapes what is observed. Differences across datasets often reflect reporting rules, not real structure. 🎯 Benchmark for: • Working with firm-level networks • Calibrating macro models • Creating synthetic data
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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
Distribution of firm-to-firm transaction values spans more than 10 orders of magnitude, even in mid-sized countries. Sales, expenses, & the num of customers & suppliers are all positively correlated. We report precise and non-obvious elasticities. Many large firms actually have very few partners.
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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
Some robust features we find: Distributions of the num of customers & suppliers: heavy-tailed, but very different exponents. Largest firms have a huge num of customers, but far fewer suppliers. Excess clustering & reciprocity: firms form dense clusters in which they trade with each other. ....
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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
By contrast, the tail exponent of the distribution of transaction values is not affected by the reporting threshold.
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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
For example, the average number of trading partners can vary by an order of magnitude across datasets – largely driven by reporting thresholds rather than real economic differences.
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