IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/121751.html

Macroeconomic Effects from Media Coverage of the China-U.S. Trade War on selected EU Countries

Author

Listed:
  • Beckmann, Joscha
  • Czudaj, Robert L.
  • Murach, Michael

Abstract

The objective of this paper is to analyze the macroeconomic effects of media coverage related to the trade conflict between China and the U.S. for selected countries of the European Union. Our main aim is to evaluate whether media coverage constitutes a relevant transmission channel for macroeconomic effects. We evaluate the response of survey-based macroeconomic expectations, stock prices, and realized industrial production. Our analysis focuses on Germany, France, Italy, and Spain in order to allow for heterogeneous effects across major EU countries. We find significant effects on expectations, stock prices, and industrial production. Especially, a significantly negative effect on current account expectations is observed for three of the four considered EU countries (Germany, Italy, and Spain).

Suggested Citation

  • Beckmann, Joscha & Czudaj, Robert L. & Murach, Michael, 2024. "Macroeconomic Effects from Media Coverage of the China-U.S. Trade War on selected EU Countries," MPRA Paper 121751, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:121751
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/121751/1/MPRA_paper_121751.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. Eichengreen, Barry, 2020. "Why hasn’t the impact of the trade war been greater?," Journal of Policy Modeling, Elsevier, vol. 42(4), pages 820-828.
    3. Yang-Ming Chang & Manaf Sellak, 2024. "Conflict and agreement in the collective choice of trade policies: implications for interstate disputes," Public Choice, Springer, vol. 199(1), pages 103-135, April.
    4. Grossman, Gene M & Helpman, Elhanan, 1995. "Trade Wars and Trade Talks," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 675-708, August.
    5. Andrew J. Patton & Allan Timmermann, 2011. "Predictability of Output Growth and Inflation: A Multi-Horizon Survey Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 397-410, July.
    6. Olivier Blanchard & Francesco Giavazzi, 2006. "Rebalancing Growth in China: A Three‐Handed Approach," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(4), pages 1-20, August.
    7. Wickes, Ron, 2021. "Trade deficits and trade conflict: The United States and Japan," Japan and the World Economy, Elsevier, vol. 60(C).
    8. Michaelides, Alexander & Milidonis, Andreas & Nishiotis, George P., 2019. "Private information in currency markets," Journal of Financial Economics, Elsevier, vol. 131(3), pages 643-665.
    9. Christopher Roth & Johannes Wohlfart, 2020. "How Do Expectations about the Macroeconomy Affect Personal Expectations and Behavior?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 731-748, October.
    10. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    11. Ilaria Fusacchia, 2020. "Evaluating the Impact of the US–China Trade War on Euro Area Economies: A Tale of Global Value Chains," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(3), pages 441-468, November.
    12. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    13. Stefano Eusepi & Bruce Preston, 2011. "Expectations, Learning, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 101(6), pages 2844-2872, October.
    14. Jules H. van Binsbergen & Svetlana Bryzgalova & Mayukh Mukhopadhyay & Varun Sharma, 2024. "(Almost) 200 Years of News-Based Economic Sentiment," NBER Working Papers 32026, National Bureau of Economic Research, Inc.
    15. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    16. Martin C. McGuire, 2020. "Trade and the predatory state: Ricardian exchange with armed competition for resources—a diagrammatic exposition," Public Choice, Springer, vol. 182(3), pages 459-494, March.
    17. Lake, James & Nie, Jun, 2023. "The 2020 US Presidential election and Trump’s wars on trade and health insurance," European Journal of Political Economy, Elsevier, vol. 78(C).
    18. Kevin L. Kliesen & Douglas C. Smith, 2010. "Measuring financial market stress," Economic Synopses, Federal Reserve Bank of St. Louis.
    19. Mike Waugh, 2019. "The Consumption Response to Trade Shocks," 2019 Meeting Papers 1226, Society for Economic Dynamics.
    20. Martha A. Starr, 2012. "Consumption, Sentiment, And Economic News," Economic Inquiry, Western Economic Association International, vol. 50(4), pages 1097-1111, October.
    21. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    22. Tobias Burggraf & Ralf Fendel & Toan Luu Duc Huynh, 2020. "Political news and stock prices: evidence from Trump’s trade war," Applied Economics Letters, Taylor & Francis Journals, vol. 27(18), pages 1485-1488, October.
    23. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    24. Haiou Mao & Holger Görg, 2020. "Friends like this: The impact of the US–China trade war on global value chains," The World Economy, Wiley Blackwell, vol. 43(7), pages 1776-1791, July.
    25. Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
    26. Gould, David M. & Woodbridge, Graeme L., 1998. "The political economy of retaliation, liberalization and trade wars," European Journal of Political Economy, Elsevier, vol. 14(1), pages 115-137, February.
    27. Kun Lang & Alexander Xincheng Li, 2022. "Disapproval rating, VIX index, COVID-19 cases and Trump’s tweeting against China," Applied Economics Letters, Taylor & Francis Journals, vol. 29(14), pages 1306-1312, August.
    28. Susanto Basu & Brent Bundick, 2017. "Uncertainty Shocks in a Model of Effective Demand," Econometrica, Econometric Society, vol. 85, pages 937-958, May.
    29. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    30. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    31. 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.
    32. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    33. Fraiberger, Samuel P. & Lee, Do & Puy, Damien & Ranciere, Romain, 2021. "Media sentiment and international asset prices," Journal of International Economics, Elsevier, vol. 133(C).
    34. Anthony W. Chen & Jim Chen & V. Reddy Dondeti, 2020. "The US-China trade war: dominance of trade or technology?," Applied Economics Letters, Taylor & Francis Journals, vol. 27(11), pages 904-909, June.
    35. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    36. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    37. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Sentiments, financial markets, and macroeconomic fluctuations," Journal of Financial Economics, Elsevier, vol. 120(2), pages 420-443.
    38. Nishimura, Yusaku & Sun, Bianxia, 2021. "President’s Tweets, US-China economic conflict and stock market Volatility: Evidence from China and G5 countries," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    39. Christian Gillitzer & Nalini Prasad, 2018. "The Effect of Consumer Sentiment on Consumption: Cross-Sectional Evidence from Elections," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 234-269, October.
    40. Pablo D Fajgelbaum & Pinelopi K Goldberg & Patrick J Kennedy & Amit K Khandelwal, 2020. "The Return to Protectionism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 1-55.
    41. Beckmann, Joscha & Czudaj, Robert L., 2023. "Perceived monetary policy uncertainty," Journal of International Money and Finance, Elsevier, vol. 130(C).
    42. Michael E. Waugh, 2019. "The Consumption Response to Trade Shocks: Evidence from the US-China Trade War," NBER Working Papers 26353, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maneejuk, Paravee & Huang, Wucaihong & Yamaka, Woraphon, 2025. "Asymmetric volatility spillover effects from energy, agriculture, green bond, and financial market uncertainty on carbon market during major market crisis," Energy Economics, Elsevier, vol. 145(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beckmann, Joscha & Czudaj, Robert L., 2026. "Uncertainty shocks and inflation: The role of credibility and expectation anchoring," Journal of International Money and Finance, Elsevier, vol. 160(C).
    2. Erik Andres-Escayola & Corinna Ghirelli & Luis Molina & Javier J. Perez & Elena Vidal, 2024. "Using Newspapers for Textual Indicators: Guidance Based on Spanish- and Portuguese-Speaking Countries," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 643-692, August.
    3. Carolin Pflueger & Emil Siriwardane & Adi Sunderam, 2019. "Financial Market Risk Perceptions and the Macroeconomy," NBER Working Papers 26290, National Bureau of Economic Research, Inc.
    4. Haining Chen & Prince Asare Vitenu-Sackey & Isaac Akpemah Bathuure, 2024. "Uncertainty Measures and Business Cycles: Evidence From the US," SAGE Open, , vol. 14(2), pages 21582440241, April.
    5. Redl, Chris, 2020. "Uncertainty matters: Evidence from close elections," Journal of International Economics, Elsevier, vol. 124(C).
    6. Baxa, Jaromír & Šestořád, Tomáš, 2025. "Common and country-specific uncertainty shocks in europe: Why their nature matters for policy," Economic Modelling, Elsevier, vol. 150(C).
    7. Mirela Miescu, 2019. "Uncertainty shocks in emerging economies," Working Papers 277077821, Lancaster University Management School, Economics Department.
    8. Miescu, Mirela S., 2023. "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, vol. 154(C).
    9. Bonciani, Dario & Ricci, Martino, 2020. "The international effects of global financial uncertainty shocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    10. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    11. Anthony M. Diercks & Alex Hsu & Andrea Tamoni, 2020. "When it Rains it Pours: Cascading Uncertainty Shocks," Finance and Economics Discussion Series 2020-064, Board of Governors of the Federal Reserve System (U.S.).
    12. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    13. Arigoni, Filippo & Lenarčič, Črt, 2020. "The impact of trade policy uncertainty shocks on the Euro Area," MPRA Paper 100832, University Library of Munich, Germany.
    14. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, July.
    15. Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
    16. Rivolta, Giulia & Trecroci, Carmine, 2020. "Measuring the effects of U.S. uncertainty and monetary conditions on EMEs' macroeconomic dynamics," MPRA Paper 99403, University Library of Munich, Germany.
    17. Eksi, Ozan & Onur Tas, Bedri Kamil, 2022. "Time-varying effect of uncertainty shocks on unemployment," Economic Modelling, Elsevier, vol. 110(C).
    18. Fabio Bertolotti & Massimiliano Marcellino, 2019. "Tax shocks with high and low uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 972-993, September.
    19. Dong, Ding & Liu, Zheng & Wang, Pengfei, 2025. "Turbulent business cycles," Journal of Monetary Economics, Elsevier, vol. 155(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:121751. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.