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Economic Policy Uncertainty in the Euro Area: Cross-Country Spillovers and Macroeconomic Impact

Author

Listed:
  • Clausen Volker

    (International Economics, Universitat Duisburg Essen Fachgebiet Volkswirtschaftslehre, Universitätsstraße 12, Essen45117, Germany)

  • Schlösser Alexander

    (International Economics, Universitat Duisburg Essen Fachgebiet Volkswirtschaftslehre, Universitätsstraße 12, Essen45117, Germany)

  • Thiem Christopher

    (International Economics, Universitat Duisburg Essen Fachgebiet Volkswirtschaftslehre, Universitätsstraße 12, Essen45117, Germany)

Abstract

This paper analyzes spillovers and the macroeconomic effects of economic policy uncertainty (EPU) in Europe over the last two decades. Drawing on the newspaper-based uncertainty indices by Baker et al. (2016, Measuring Economic Policy Uncertainty. Quarterly Journal of Economics 131 (4): 1593–1636), we first use the Diebold and Yilmaz (2014 On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms. Journal of Econometrics 182 (1): 119–134) connectedness index methodology to investigate the static and dynamic patterns of EPU spillovers. We find substantial spillovers across the European countries. Over time, Germany in particular has become increasingly connected to the other economies. In a second step, we investigate the economic impact of EPU shocks using a structural VAR. The detrimental influence of uncertainty turns out to be regime-dependent. We identify a pre-crisis, a crisis and a post-crisis regime, and the effect is only significant in the former two. Finally, the impact of EPU shocks is also heterogeneous across the monetary union’s most important members.

Suggested Citation

  • Clausen Volker & Schlösser Alexander & Thiem Christopher, 2019. "Economic Policy Uncertainty in the Euro Area: Cross-Country Spillovers and Macroeconomic Impact," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(5-6), pages 957-981, October.
  • Handle: RePEc:jns:jbstat:v:239:y:2019:i:5-6:p:957-981:n:3
    DOI: 10.1515/jbnst-2018-0083
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    References listed on IDEAS

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    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
    3. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    4. Francis X. Diebold & Kamil Yilmaz, 2016. "Trans-Atlantic Equity Volatility Connectedness: U.S. and European Financial Institutions, 2004–2014," Journal of Financial Econometrics, Oxford University Press, vol. 14(1), pages 81-127.
    5. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    6. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
    7. Colombo, Valentina, 2013. "Economic policy uncertainty in the US: Does it matter for the Euro area?," Economics Letters, Elsevier, vol. 121(1), pages 39-42.
    8. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    9. Thiem, Christopher, 2018. "Cross-category spillovers of economic policy uncertainty," Ruhr Economic Papers 744, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    11. Markku Lanne & Henri Nyberg, 2016. "Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 595-603, August.
    12. Pindyck, Robert S, 1991. "Irreversibility, Uncertainty, and Investment," Journal of Economic Literature, American Economic Association, vol. 29(3), pages 1110-1148, September.
    13. 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.
    14. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    15. Philippe Bacchetta & Eric van Wincoop, 2016. "The Great Recession: A Self-Fulfilling Global Panic," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(4), pages 177-198, October.
    16. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    17. Philippe Bacchetta & Cédric Tille & Eric van Wincoop, 2012. "Self-Fulfilling Risk Panics," American Economic Review, American Economic Association, vol. 102(7), pages 3674-3700, December.
    18. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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    Cited by:

    1. Gillmann, Niels & Okhrin, Ostap, 2025. "Adaptive local VAR for dynamic economic policy uncertainty spillover," Economic Modelling, Elsevier, vol. 148(C).
    2. Niels Gillmann, 2026. "A Global Network of Economic Policy Uncertainty Spillovers," Open Economies Review, Springer, vol. 37(1), pages 27-62, March.
    3. Niels Gillmann & Ostap Okhrin, 2023. "Adaptive local VAR for dynamic economic policy uncertainty spillover," Papers 2302.02808, arXiv.org.
    4. Volker Clausen, 2019. "A Plea for an exit from Brexit and a second referendum," International Economics and Economic Policy, Springer, vol. 16(1), pages 31-35, March.
    5. Nong, Huifu, 2021. "Have cross-category spillovers of economic policy uncertainty changed during the US–China trade war?," Journal of Asian Economics, Elsevier, vol. 74(C).
    6. Thanh Huu Phu Nguyen & Ho Hoang Gia Bao & Hoang Phong Le, 2025. "Global Turbulence Spillovers and Corporate Equity Returns Volatility in a Transition Economy: Economy- and Region-Based Approaches With Moderating Roles of Liquidity and Government Ownership," SAGE Open, , vol. 15(4), pages 21582440251, October.

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F45 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Macroeconomic Issues of Monetary Unions
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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