IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20161971.html
   My bibliography  Save this paper

Crisis severity and the international trade network

Author

Listed:
  • Endrész, Marianna
  • Skudelny, Frauke

Abstract

In this paper we analyse the role of the international trade network for the strength of the global recession across countries. The novelty of our paper is the use of value-added trade data to capture the importance of trade network structure. We estimate with BMA techniques how far network indicators measuring interlinkages in terms of value added trade has explanatory power both for the length and the depth of the recent crisis once we control for pre-crisis macroeconomic fundamentals. Our main findings are that the macroeconomic control variables with the strongest explanatory power for the length and the depth of the crisis are the growth rates of credit and of the real effective exchange rate in the pre-crisis period and, though to a lesser extent, GDP and inflation growth over the same period and pre-crisis foreign exchange reserves. Government debt, the GVC participation index and net foreign assets have very little explanatory power in the BMA estimations. The models JEL Classification: F14, C45, C52, C67

Suggested Citation

  • Endrész, Marianna & Skudelny, Frauke, 2016. "Crisis severity and the international trade network," Working Paper Series 1971, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20161971
    Note: 176751
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1971.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2014. "Tracing Value-Added and Double Counting in Gross Exports," American Economic Review, American Economic Association, vol. 104(2), pages 459-494, February.
    2. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
    3. Berkmen, S. Pelin & Gelos, Gaston & Rennhack, Robert & Walsh, James P., 2012. "The global financial crisis: Explaining cross-country differences in the output impact," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 42-59.
    4. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    5. Guillaume Daudin & Christine Rifflart & Danielle Schweisguth, 2011. "Who produces for whom in the world economy?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(4), pages 1403-1437, November.
    6. Minoiu, Camelia & Reyes, Javier A., 2013. "A network analysis of global banking: 1978–2010," Journal of Financial Stability, Elsevier, vol. 9(2), pages 168-184.
    7. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    8. Marcel Timmer & Abdul A. Erumban & Reitze Gouma & Bart Los & Umed Temurshoev & Gaaitzen J. de Vries & I–aki Arto & Valeria Andreoni AurŽlien Genty & Frederik Neuwahl & JosŽ M. Rueda?Cantuche & Joseph , 2012. "The World Input-Output Database (WIOD): Contents, Sources and Methods," IIDE Discussion Papers 20120401, Institue for International and Development Economics.
    9. Kuroiwa, Ikuo & Kuwamori, Hiroshi, 2010. "Shock Transmission Mechanism of the Economic Crisis in East Asia : An Application of International Input-Output Analysis," IDE Discussion Papers 220, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    10. De Benedictis Luca & Nenci Silvia & Santoni Gianluca & Tajoli Lucia & Vicarelli Claudio, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 1-57, October.
    11. João Amador & Sónia Cabral, 2014. "Global Value Chains: Surveying Drivers, Measures and Impacts," Working Papers w201403, Banco de Portugal, Economics and Research Department.
    12. Caballero, Julián, 2012. "Banking Crises and Financial Integration," IDB Publications (Working Papers) 4198, Inter-American Development Bank.
    13. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    14. Carlo Altomonte & Filippo Di Mauro & Gianmarco I. P. Ottaviano & Armando Rungi & Vincent Vicard, 2012. "Global Value Chains During the Great Trade Collapse: A Bullwhip Effect?," CEP Discussion Papers dp1131, Centre for Economic Performance, LSE.
    15. Amador, João & Cabral, Sónia, 2014. "Global value chains: surveying drivers and measures," Working Paper Series 1739, European Central Bank.
    16. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    17. Guillermo Hausmann-Guil & Eric van Wincoop & Gang Zhang, 2016. "The Great Recession: Divide between Integrated and Less Integrated Countries*," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(1), pages 134-176, May.
    18. Kristin J. Forbes, 2002. "Are Trade Linkages Important Determinants of Country Vulnerability to Crises?," NBER Chapters, in: Preventing Currency Crises in Emerging Markets, pages 77-132, National Bureau of Economic Research, Inc.
    19. Liang, Feng & Paulo, Rui & Molina, German & Clyde, Merlise A. & Berger, Jim O., 2008. "Mixtures of g Priors for Bayesian Variable Selection," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 410-423, March.
    20. Richard Baldwin & Javier Lopez-Gonzalez, 2015. "Supply-chain Trade: A Portrait of Global Patterns and Several Testable Hypotheses," The World Economy, Wiley Blackwell, vol. 38(11), pages 1682-1721, November.
    21. Zeugner, Stefan & Feldkircher, Martin, 2015. "Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i04).
    22. Stephen Cecchetti & Michael R King & James Yetman, 2011. "Weathering the financial crisis: good policy or good luck?," BIS Working Papers 351, Bank for International Settlements.
    23. Johnson, Robert C. & Noguera, Guillermo, 2012. "Accounting for intermediates: Production sharing and trade in value added," Journal of International Economics, Elsevier, vol. 86(2), pages 224-236.
    Full references (including those not matched with items on IDEAS)

    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. Kozo Kiyota & Keita Oikawa & Katsuhiro Yoshioka, 2017. "The Global Value Chain and the Competitiveness of Asian Countries," Asian Economic Papers, MIT Press, vol. 16(3), pages 257-281, Fall.
    2. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    3. Victor Kummritz, 2015. "Global Value Chains: Benefiting the Domestic Economy?," IHEID Working Papers 02-2015, Economics Section, The Graduate Institute of International Studies.
    4. Chen Ray-Bing & Lee Kuo-Jung & Chen Yi-Chi & Chu Chi-Hsiang, 2017. "On the determinants of the 2008 financial crisis: a Bayesian approach to the selection of groups and variables," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-17, December.
    5. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    6. Amat Adarov & Robert Stehrer, 2021. "Implications of foreign direct investment, capital formation and its structure for global value chains," The World Economy, Wiley Blackwell, vol. 44(11), pages 3246-3299, November.
    7. Nenci, Silvia & Fusacchia, Ilaria & Giunta, Anna & Montalbano, Pierluigi & Pietrobelli, Carlo, 2022. "Mapping global value chain participation and positioning in agriculture and food: stylised facts, empirical evidence and critical issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(2), July.
    8. Marta Solaz Alamá, 2016. "Cadenas globales de valor y generación de valor añadido: El caso de la economía española," Working Papers. Serie EC 2016-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Chung, Sung Hoon, 2016. "Korea's Participation in Global Value Chains: Measures and Implications," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 38(4), pages 45-76.
    10. Cabrillac, Bruno & Al-Haschimi, Alexander & Babecká Kucharčuková, Oxana & Borin, Alessandro & Bussière, Matthieu & Cezar, Raphael & Derviz, Alexis & Dimitropoulou, Dimitra & Ferrara, Laurent & Gächter, 2016. "Understanding the weakness in global trade - What is the new normal?," Occasional Paper Series 178, European Central Bank.
    11. Inga Heiland, 2017. "Five Essays on International Trade, Factor Flows and the Gains from Globalization," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 74.
    12. Zhi Wang & Shang-Jin Wei & Kunfu Zhu, 2013. "Quantifying International Production Sharing at the Bilateral and Sector Levels," NBER Working Papers 19677, National Bureau of Economic Research, Inc.
    13. Vrh, Nataša, 2015. "Pay-off to Participation in Global Value Chains: How Much are New EU Member States Lagging behind the Rest of EU Countries in Terms of Domestic Value Added in Exports?," MPRA Paper 67805, University Library of Munich, Germany.
    14. Luca Salvatici & Silvia Nenci, 2017. "New features, forgotten costs and counterfactual gains of the international trading system," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(4), pages 592-633.
    15. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    16. Araújo, Inácio Fernandes de & Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues, 2021. "Regional and global patterns of participation in value chains: Evidence from Brazil," International Economics, Elsevier, vol. 165(C), pages 154-171.
    17. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    18. Ferraz, Lucas Pedreira do Couto & Gutierre, Leopoldo & Cabral, Rodolfo Arruda, 2015. "The manufacturing industry in Brazil in the era of global value chains," Textos para discussão 402, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    19. Aichele, Rahel & Heiland, Inga, 2018. "Where is the value added? Trade liberalization and production networks," Journal of International Economics, Elsevier, vol. 115(C), pages 130-144.
    20. Konstantins Benkovskis & Julia Wörz, 2014. "“Made in China” – How Does it Affect Measures of Competitiveness?," Working Papers 193, Oesterreichische Nationalbank (Austrian Central Bank).

    More about this item

    Keywords

    Bayesian model averaging; crisis indicators; network indicators; value added trade; WIOD;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    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:ecb:ecbwps:20161971. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.