Pith. sign in

REVIEW 1 cited by

Revealing production networks from firm growth dynamics

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2302.09906 v4 pith:GVNWII3Q submitted 2023-02-20 q-fin.ST

Luca Mungo , José Moran This is my paper · ORCID
classification q-fin.ST
keywords firmscorrelationchainsupplyaveragecommonfactorfirm
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

We study the correlation structure of firm growth rates. We show that most firms are correlated because of their exposure to a common factor but that firms linked through the supply chain exhibit a stronger correlation on average than firms that are not. Removing this common factor significantly reduces the average correlation between two firms with no relationship in the supply chain while maintaining a significant correlation between two firms that are linked. We then investigate if this observation can be used to reconstruct the topology of a supply chain network using Gaussian Markov Models.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Multi-scale reconstruction of large supply networks

    physics.soc-ph 2024-12 conditional novelty 6.0 of 10

    A scale-invariant network model, calibrated by link density, reconstructs Dutch firm-to-firm supply networks and preserves density predictions across aggregation levels.

Pith tools