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International (spillovers in) macrofinancial linkages and the decoupling phenomenon

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  • Pesce, Antonio

Abstract

This paper contributes to the debate on the decoupling of emerging economies (EEs) from advanced economies (AEs), by measuring how the resilience of EEs to external shocks (i.e. shocks spreading from AEs) has changed over time and whether EEs are relatively more vulnerable to real or financial external shocks. A time-varying panel VAR model with factorisation of the coefficients was used to perform counterfactual experiments over a period of about 30 years for a large sample of countries. Allowing for time-varying coefficients permitted the decoupling phenomenon to be examined as a slow-moving evolution process over a long time, rather than as a structural break at a specific moment. The factorisation of coefficients allowed a large dynamic panel to be managed, with interdependences across many countries. Consequently, the experiment was more realistic, in terms of evaluating the response of EEs to shocks hitting the AEs within a global framework. The resilience of EEs has improved over time; however, this increasing resilience was discontinuous over the approximately 30-year sample period, tracing a ‘wave path’. In the whole sample period, the EEs were relatively more vulnerable to credit shocks than to real ones. This greater vulnerability increased over time and peaked in the last 5 years of the sample period.

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  • Pesce, Antonio, 2014. "International (spillovers in) macrofinancial linkages and the decoupling phenomenon," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 41-67.
  • Handle: RePEc:eee:jimfin:v:48:y:2014:i:pa:p:41-67
    DOI: 10.1016/j.jimonfin.2014.07.006
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    1. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    2. Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2007. "Similarities and convergence in G-7 cycles," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 850-878, April.
    3. Kulwant Rai & Herman Kamil, 2010. "The Global Credit Crunch and Foreign Banks’ Lending to Emerging Markets: Why Did Latin America Fare Better?," IMF Working Papers 2010/102, International Monetary Fund.
    4. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
    5. Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
    6. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    7. Helbling, Thomas & Huidrom, Raju & Kose, M. Ayhan & Otrok, Christopher, 2011. "Do credit shocks matter? A global perspective," European Economic Review, Elsevier, vol. 55(3), pages 340-353, April.
    8. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    9. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    10. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    11. Tim W. Cogley, 2003. "Drifts and Volatilities: Monetary Policies and Outcomes in the Post War U.S," Working Papers 35, University of California, Davis, Department of Economics.
    12. Pritchett, Lant, 2000. "Understanding Patterns of Economic Growth: Searching for Hills among Plateaus, Mountains, and Plains," The World Bank Economic Review, World Bank Group, vol. 14(2), pages 221-250, May.
    13. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    14. Abiad, Abdul & Bluedorn, John & Guajardo, Jaime & Topalova, Petia, 2015. "The Rising Resilience of Emerging Market and Developing Economies," World Development, Elsevier, vol. 72(C), pages 1-26.
    15. Nicola Cetorelli & Linda S Goldberg, 2011. "Global Banks and International Shock Transmission: Evidence from the Crisis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(1), pages 41-76, April.
    16. Canova, Fabio & Ciccarelli, Matteo, 2004. "Forecasting and turning point predictions in a Bayesian panel VAR model," Journal of Econometrics, Elsevier, vol. 120(2), pages 327-359, June.
    17. Chib, Siddhartha & Greenberg, Edward, 1995. "Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models," Journal of Econometrics, Elsevier, vol. 68(2), pages 339-360, August.
    18. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    19. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
    20. Ms. Silvia Sgherri & Mr. Alessandro Galesi, 2009. "Regional Financial Spillovers Across Europe: A Global VAR Analysis," IMF Working Papers 2009/023, International Monetary Fund.
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    1. Luitel, Prabesh & Vanpée, Rosanne & De Moor, Lieven, 2016. "Pernicious effects: How the credit rating agencies disadvantage emerging markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 286-298.

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    More about this item

    Keywords

    International transmission of shocks; Emerging and advanced countries; Bayesian methods;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles

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