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Andrea Bacilieri

@abacilieri.bsky.social
88 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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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
We systematically study the effect of the reporting threshold and show that 👉 Reporting thresholds systematically distort network statistics, and we can often identify the direction of the bias. ❗️Calibrating economic models using incomplete datasets can lead to targeting biased moments.
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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
There are several studies on specific countries – but what do we (really) know about nation-wide production networks? What have we learned from these studies? Why are there differences or similarities between them? Could major differences only be data artefacts? – As it turns out, yes!
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Andrea Bacilieri @abacilieri.bsky.social · 05/05/2026
Many studies on national supply chains: It’s time to take stock! 1st to use rare admin data to establish a benchmark 🧵 🔗Paper tinyurl.com/3wf77bkw 🔥Code tinyurl.com/v9c63cub @francoislafond.bsky.social A Borsos M Hoefer @pastudillo.bsky.social @inet-complexity.bsky.social @inetoxford.bsky.social
tinyurl.com
Firm-level production networks: What do we (really) know?
Are standard production network properties similar across all available datasets, and if not, why? We provide benchmark results from two administrativ…
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Reposted by Andrea Bacilieri
Prof. Stefan Rahmstorf @rahmstorf.bsky.social · 04/07/2025
This is definitely not the time to delay or dial back climate policy. The urgency has never been greater. We are approaching dangerous tipping points, almost 200 scientists warn. 🌊 news.exeter.ac.uk/faculty-of-e...
news.exeter.ac.uk
‘Tipping points’ experts issue urgent message to world leaders
World leaders must take “immediate, unprecedented action” to prevent devastating climate tipping points, experts say. The Global Tipping Points Conference is taking place in Exeter this week, and almo...
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