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Current account sustainability in advanced economies


  • Lanzafame, Matteo


This paper investigates the sustainability of current accounts in advanced economies, using a panel of 27 countries and annual data over the 1980-2008 period. We find strong evidence in favour of nonlinear but stationary current-account trajectories for 14 countries, while the remaining 13 appear to be nonstationary and, thus, unsustainable. Our analysis indicates that careful empirical modeling of current-account dynamics, particularly in relation to cross-section dependence and nonlinear behaviour, is crucial for appropriate economic policymaking.

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  • Lanzafame, Matteo, 2012. "Current account sustainability in advanced economies," MPRA Paper 42384, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:42384

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    References listed on IDEAS

    1. Mario Cerrato & Christian De Peretti & Nick Sarantis, 2007. "A nonlinear panel unit root test under cross section dependence," Documents de recherche 07-12, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
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    4. Chortareas, Georgios & Kapetanios, George, 2009. "Getting PPP right: Identifying mean-reverting real exchange rates in panels," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 390-404, February.
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    10. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
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    12. Husted, Steven, 1992. "The Emerging U.S. Current Account Deficit in the 1980s: A Cointegration Analysis," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 159-166, February.
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    14. Lau, Evan & Zubaidi Baharumshah, Ahmad, 2005. "Mean-reverting behavior of current account in Asian countries," Economics Letters, Elsevier, vol. 87(3), pages 367-371, June.
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    Cited by:

    1. Devi Prasad DASH & Debi Prasad BAL & Manoranjan SAHOO, 2016. "Nexus between defense expenditure and economic growth in BRIC economies: An empirical investigation," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 89-102, Spring.
    2. Sahoo, Manoranjan & babu, M. Suresh & Dash, Umakant, 2016. "Current account sustainability in SAARC economies: Evidence from combined cointegration approach," MPRA Paper 79014, University Library of Munich, Germany, revised 2016.
    3. Manoranjan SAHOO & M Suresh BABU & Umakant DASH, 2016. "Current account sustainability in SAARC economies: Evidence from combined cointegration approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(609), W), pages 281-298, Winter.
    4. Sahoo, Manoranjan & Babu, M. Suresh & Dash, Umakant, 2016. "Long run sustainability of current account balance of China and India: New evidence from combined cointegration test," MPRA Paper 79013, University Library of Munich, Germany, revised 2016.
    5. Manoranjan SAHOO & M Suresh BABU & Umakant DASH, 2016. "Current account sustainability in SAARC economies: Evidence from combined cointegration approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(609), W), pages 281-298, Winter.
    6. repec:ebl:ecbull:eb-17-00517 is not listed on IDEAS
    7. Amba Oyon Claude Marius & Taoufiki Mbratana & Kane Gilles Quentin, 2017. "Assessing the current account sustainability in ECCAS economies: A dual cointegration analysis," Economics Bulletin, AccessEcon, vol. 37(3), pages 1873-1894.

    More about this item


    Current account sustainability; panel unit root tests; nonlinearity;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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