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The J-curve dynamics of Turkey: an application of ARDL model

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  • Ferda Halicioglu

Abstract

This article seeks an empirical evidence for the existence of the J-curve phenomenon both in the short-run and long-run for Turkey over the period 1980-2005. The bounds testing cointegration approach is employed to estimate the trade balance model. An augmented form of Granger causality analysis is implemented between trade balance, real effective exchange rates, foreign income and domestic income. The stability of the short-run as well as long-run coefficients in the trade balance model is tested too. The empirical results that the J-curve phenomenon is supported only in the short-run. Whilst causality tests reveal mix results, the parameter stability tests seem to be inconclusive.

Suggested Citation

  • Ferda Halicioglu, 2008. "The J-curve dynamics of Turkey: an application of ARDL model," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2423-2429.
  • Handle: RePEc:taf:applec:v:40:y:2008:i:18:p:2423-2429
    DOI: 10.1080/00036840600949496
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    References listed on IDEAS

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    Cited by:

    1. Mohsen Bahmani-Oskooee & Salman Huseynov & Rustam Jamilov, 2014. "Is there a J-curve for Azerbaijan? New evidence from industry-level analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(1), pages 83-98, March.
    2. Manuel CANTAVELLA-JORDA & Sheila Amin GUTIERREZ DE PIÑERES, 2012. "A Cross-national Panel Study of Devaluations on Disaggregated Export Sectors: A Case for Sector Specific Policies," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 12(2).
    3. Bahmani-Oskooee, Mohsen & Durmaz, Nazif, 2016. "Asymmetric cointegration and the J-Curve: Evidence from commodity trade between Turkey and EU," MPRA Paper 83183, University Library of Munich, Germany, revised 14 May 2016.
    4. Ferda, HALICIOGLU & Kasim, EREN, 2013. "Testing Twin Deficits and Saving-Investment Nexus in Turkey," MPRA Paper 50098, University Library of Munich, Germany.
    5. Rustam Jamilov, 2013. "J-Curve Dynamics and the Marshall–Lerner Condition: Evidence from Azerbaijan," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(3), pages 313-323, February.
    6. Huang, Jr-Tsung & Hwang, Yu-Ning & Lo, Kuang-Ta, 2014. "The Role of Foreign Direct Investment in Shanghai's Real Estate Price - Culprit or Scapegoat?," AGI Working Paper Series 2014-02, Asian Growth Research Institute.
    7. Ferda Halicioglu, 2013. "Dynamics of obesity in Finland," Journal of Economic Studies, Emerald Group Publishing, vol. 40(5), pages 644-657, October.
    8. Kwame Akosah, Nana & Omane-Adjepong, Maurice, 2017. "Exchange Rate and External Trade Flows: Empirical Evidence of J-Curve Effect in Ghana," MPRA Paper 86640, University Library of Munich, Germany, revised Dec 2017.
    9. repec:eee:ecosys:v:41:y:2017:i:2:p:279-296 is not listed on IDEAS
    10. BAHMANI-OSKOOEE, Mohsen & HALICIOGLU, Ferda & GHODSI, Seyed Hesam, 2016. "Asymmetric Effects of Exchange Rate Changes on British Bilateral Trade Balances," MPRA Paper 73477, University Library of Munich, Germany.
    11. Muhammad ASIF & Kashif RASHID, 2011. "Impact of Devaluation on Trade Balance in Pakistan," Oeconomics of Knowledge, Saphira Publishing House, vol. 3(3), pages 16-25, July.

    More about this item

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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