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Do Korean Exports Have Different Patterns over Different Regimes?: New Evidence from STAR-VECM

Author

Listed:
  • Sei-Wan Kim

    (Department of Economics, Ewha Womans University)

  • Moon Jung Choi

    (Economic Research Institute, The Bank of Korea)

Abstract

In this work we examine whether the relationships of Korean exports to global GDP and to the exchange rate change depending on whether exports are in their expansionary or their contractionary regimes. To this empirical end we incorporate the two distinct dynamic features of regime change and co-integration into a multi-variable smooth transition autoregressive vector error correction model (STAR-VECM). Our estimation results reveal asymmetries in the short-run relationships of Korea¡¯s exports to global GDP and to the exchange rate, between the contractionary and the expansionary export regimes, although their long-run relationships remain stable. Specifically, the positive effect of real global GDP on Korea¡¯s real exports is inelastic during contractionary regimes but changes to become elastic in expansionary regimes. The effect of the real effective exchange rate on Korea¡¯s real exports is positive and inelastic under contractionary regimes, but becomes negative and elastic under expansionary regimes. Our results suggest that the asymmetric properties of the relationship of Korea¡¯s exports to global GDP and the exchange rates across the different regimes should be taken into account in order to better understand the behavior of Korea¡¯s exports.

Suggested Citation

  • Sei-Wan Kim & Moon Jung Choi, 2018. "Do Korean Exports Have Different Patterns over Different Regimes?: New Evidence from STAR-VECM," Working Papers 2018-30, Economic Research Institute, Bank of Korea.
    • Handle: RePEc:bok:wpaper:1830
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    References listed on IDEAS

    as
    1. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    3. Cristina Constantinescu & Aaditya Mattoo & Michele Ruta, 2020. "The Global Trade Slowdown: Cyclical or Structural?," The World Bank Economic Review, World Bank, vol. 34(1), pages 121-142.
    4. Escribano, Alvaro & Pfann, Gerard A., 1998. "Non-linear error correction, asymmetric adjustment and cointegration," Economic Modelling, Elsevier, vol. 15(2), pages 197-216, April.
    5. Granger, C W J & Swanson, Norman, 1996. "Future Developments in the Study of Cointegrated Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 537-553, August.
    6. Escribano, A., 1987. "Error-correction systems: nonlinear adjustments to linear long-run relationships," LIDAM Discussion Papers CORE 1987030, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Escaith, Hubert & Lindenberg, Nannette & Miroudot, Sébastien, 2010. "International supply chains and trade elasticity in times of global crisis," WTO Staff Working Papers ERSD-2010-08, World Trade Organization (WTO), Economic Research and Statistics Division.
    8. Alvaro Escribano & Santiago Mira, 2002. "Nonlinear error correction models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(5), pages 509-522, September.
    9. Wooldridge, Jeffrey M. & White, Halbert, 1988. "Some Invariance Principles and Central Limit Theorems for Dependent Heterogeneous Processes," Econometric Theory, Cambridge University Press, vol. 4(2), pages 210-230, August.
    10. Hatanaka, Michio, 1996. "Time-Series-Based Econometrics: Unit Roots and Co-integrations," OUP Catalogue, Oxford University Press, number 9780198773535.
    11. Irwin, Douglas A., 2002. "Long-run trends in world trade and income," World Trade Review, Cambridge University Press, vol. 1(1), pages 89-100, March.
    12. Borin, Alessandro & Di Nino, Virginia & Mancini, Michele & Sbracia, Massimo, 2016. "The Cyclicality of the Income Elasticity of Trade," MPRA Paper 73000, University Library of Munich, Germany.
    13. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    14. Matthieu Bussière & Giovanni Callegari & Fabio Ghironi & Giulia Sestieri & Norihiko Yamano, 2013. "Estimating Trade Elasticities: Demand Composition and the Trade Collapse of 2008-2009," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 118-151, July.
    15. Houthakker, Hendrik S & Magee, Stephen P, 1969. "Income and Price Elasticities in World Trade," The Review of Economics and Statistics, MIT Press, vol. 51(2), pages 111-125, May.
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    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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