Firms' Internal Networks and Local Economic Shocks
Xavier Giroud and
Holger M. Mueller
American Economic Review, 2019, vol. 109, issue 10, 3617-49
Abstract:
Using confidential establishment-level data from the US Census Bureau's Longitudinal Business Database, this paper documents how local shocks propagate across US regions through firms' internal networks of establishments. Consistent with a model of optimal within-firm resource allocation, we find that establishment-level employment is sensitive to shocks in distant regions in which the establishment's parent firm is operating, and that the elasticity with respect to such shocks increases with the firm's financial constraint. At the aggregate regional level, we find that aggregate county-level employment is sensitive to shocks in distant counties linked through firms' internal networks.
JEL-codes: D22 G32 L14 L22 R23 R32 (search for similar items in EconPapers)
Date: 2019
Note: DOI: 10.1257/aer.20170346
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/aer.20170346 (application/pdf)
https://www.aeaweb.org/doi/10.1257/aer.20170346.data (application/zip)
https://www.aeaweb.org/doi/10.1257/aer.20170346.appx (application/pdf)
https://www.aeaweb.org/doi/10.1257/aer.20170346.ds (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aea:aecrev:v:109:y:2019:i:10:p:3617-49
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
Access Statistics for this article
American Economic Review is currently edited by Esther Duflo
More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().