Journal article

Firm-level production networks: what do we (really) know?

Abstract:: Are standard production network properties similar across all available datasets, and if not, why? We provide benchmark results from two administrative datasets (Ecuador and Hungary), which are exceptional in that they have no reporting threshold. We compare these networks with a leading commercial dataset (FactSet) and published results on national firm-level production networks. Administrative datasets with no reporting thresholds have remarkably similar quantitative properties, while a number of important properties are biased in datasets with missing data.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Bacilieri, A., Borsos, A., Astudillo-Estevez, P., Hoefer, M., & Lafond, F. (2026). Firm-level production networks: what do we (really) know? Journal of Economic Dynamics and Control, 187.

MLA Style

Bacilieri, A, et al. “Firm-Level Production Networks: What Do We (Really) Know?” Journal of Economic Dynamics and Control, vol. 187, 2026.

Chicago Style

Bacilieri, A, A Borsos, P Astudillo-Estevez, M Hoefer, and F Lafond. 2026. “Firm-Level Production Networks: What Do We (Really) Know?” Journal of Economic Dynamics and Control 187.
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Files:: Bacilieri_et_al_2026_Firm-level_production_networks.pdf

(Preview, Version of record, pdf, 11.9MB, Terms of use)

Publisher copy:: 10.1016/j.jedc.2026.105313

Authors

+ Bacilieri, A More by this author

Institution:: University of Oxford
Division:: SSD
Research group:: Institute for New Economic Thinking Oxford
Role:: Author
ORCID:: 0000-0002-1425-826X

+ Borsos, A More by this author

Institution:: University of Oxford
Division:: SSD
Research group:: Institute for New Economic Thinking Oxford
Role:: Author

+ Astudillo-Estevez, P More by this author

Institution:: University of Oxford
Division:: SSD
Research group:: Institute for New Economic Thinking Oxford
Role:: Author

+ Hoefer, M More by this author

Institution:: University of Oxford
Division:: SSD
Department:: SOGE
Sub department:: Smith School
Role:: Author
ORCID:: 0000-0002-7147-4655

+ Lafond, F More by this author

Institution:: University of Oxford
Division:: SSD
Department:: SOGE
Sub department:: Smith School
Role:: Author
ORCID:: 0000-0002-8333-561X

+ Office of the Director of National Intelligence More from this funder

Funder identifier:: https://ror.org/01v3fsc55
Grant:: 2019-1902010003
Programme:: Intelligence Advanced Research Projects Activity

+ University of Oxford More from this funder

Funder identifier:: https://ror.org/052gg0110

+ Baillie Gifford More from this funder

Publisher:: Elsevier
Journal:: Journal of Economic Dynamics and Control More from this journal
Volume:: 187
Article number:: 105313
Publication date:: 2026-03-25
Acceptance date:: 2026-03-04
DOI:: 10.1016/j.jedc.2026.105313
EISSN:: 1879-1743
ISSN:: 0165-1889

Language:: English
Keywords:: production networks

input-output analysis

firm-level data
Pubs id:: 2398211
Local pid:: pubs:2398211
Source identifiers:: W7140304717
Deposit date:: 2026-04-28
ARK identifier:: ark:/29072/ora_21f006d742734f28b81ad18cd6af97e8

Terms of use

Copyright holder:: Bacilieri et al.
Copyright date:: 2026
Rights statement:: ©The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Licence:: CC Attribution (CC BY)

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