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Sectoral slowdowns in the UK: Evidence from transmission probabilities and economic linkages

Author

Listed:
  • Eva Janssens

    (University of Amsterdam)

  • Robin Lumsdaine

    (Erasmus University Rotterdam)

Abstract

This paper studies shock transmission 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 shocks to assess whether sectors with large bilateral economic linkages as measured through network data have a greater statistical likelihood of shock transmission 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 shock transmission. The inferential discrepancies between network data and the actual spillovers highlight the contribution of the proposed methodology.

Suggested Citation

  • Eva Janssens & Robin Lumsdaine, 2021. "Sectoral slowdowns in the UK: Evidence from transmission probabilities and economic linkages," Tinbergen Institute Discussion Papers 21-027/III, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20210027
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    References listed on IDEAS

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    1. Daron Acemoglu & Pablo D. Azar, 2020. "Endogenous Production Networks," Econometrica, Econometric Society, vol. 88(1), pages 33-82, January.
    2. Glasserman, Paul & Young, H. Peyton, 2015. "How likely is contagion in financial networks?," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 383-399.
    3. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    4. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    5. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    6. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    7. Oliver Burrows & Fergus Cumming, 2015. "Mapping the UK financial system," Bank of England Quarterly Bulletin, Bank of England, vol. 55(2), pages 114-129.
    8. Marta Bańbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92, January.
    9. Satyajit Ghosh & Kshitij Khare & George Michailidis, 2019. "High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 735-748, April.
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    Keywords

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    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • G01 - Financial Economics - - General - - - Financial Crises

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