Tail Risk in Production Networks
Ian Dew-Becker
No 30479, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
This paper describes the response of the economy to large shocks in a nonlinear production network. While arbitrary combinations of shocks can be studied, it focuses on a sector's tail centrality, which quantifies the effect of a large negative shock to the sector – a measure of the systemic risk of each sector. Tail centrality is theoretically and empirically very different from local centrality measures such as sales share – in a benchmark case, it is measured as a sector's average downstream closeness to final production. The paper then uses the results to analyze the determinants of total tail risk in the economy. Increases in interconnectedness in the presence of complementarity can simultaneously reduce the sensitivity of the economy to small shocks while increasing the sensitivity to large shocks. Tail risk is strongest in economies that display conditional granularity, where some sectors become highly influential following negative shocks.
JEL-codes: D24 D57 E13 E32 (search for similar items in EconPapers)
Date: 2022-09
New Economics Papers: this item is included in nep-net and nep-rmg
Note: AP EFG IFM ME PR
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.nber.org/papers/w30479.pdf (application/pdf)
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:nbr:nberwo:30479
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w30479
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().