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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

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    References listed on IDEAS

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    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 287-343, 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.
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    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

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