@article{f5c2debc61724ebe8f4c94615efb124b,
title = "The coincidence of sectoral slowdowns in the UK: comparing transmission probabilities and economic linkages",
abstract = "This paper studies spillovers across macroeconomic sectors in the UK, using data from the Bank of England's Flow of Funds statistics. We combine two different approaches to quantify the spread of economic deterioration to assess whether sectors with large bilateral economic linkages as measured through network data have a greater statistical likelihood of spillovers between them. The combination of both approaches reveals the Monetary Financial Institutions sector's role as shock absorber, and identifies the most important channels of spillovers. The inferential discrepancies between network data and statistical spillovers highlight the contribution of the proposed methodology.",
keywords = "Flow of Funds, contagion, epidemiology, intersectoral networks, Gibbs sampling, Bayesian priors",
author = "Eva Janssens and Lumsdaine, {Robin L.}",
note = "24 month embargo - Wiley {"}This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley{\textquoteright}s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.{"}",
year = "2021",
month = jan,
day = "21",
language = "English",
journal = "Journal of Applied Econometrics",
issn = "0883-7252",
publisher = "John Wiley & Sons",
}