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The Immediate Impact Of Euro On Intra-Regional Trade: An Event Study Approach

Author

Listed:
  • Ruhul Salim

    (Curtin Business School, Curtin University of Technology)

  • Shahriar Kabir

    (Curtin Business School, Curtin University of Technology)

Abstract

This article applies the event study approach to assess the immediate impact of Euro on intra-regional trade among the European Union (EU) members. Here, the post-Euro intra-regional trade has been compared with the pre-Euro intra-regional trade, while the implementation of Euro has been considered as the event. The results show that the trade enhancement at the immediate post-event period is 1.2 times of the immediate pre-event period for France, Germany, Italy and Spain, while immediate trade enhancement for all Euro-members is 1.14 times. The estimation has been statistically justified by using the gravity model. This study thus provides the first empirical evidence on the assessment of currency union impact on intra-regional trade by using the alternative method, the event study approach.

Suggested Citation

  • Ruhul Salim & Shahriar Kabir, 2010. "The Immediate Impact Of Euro On Intra-Regional Trade: An Event Study Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(3), pages 43-55, September.
  • Handle: RePEc:jed:journl:v:35:y:2010:i:3:p:43-55
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    References listed on IDEAS

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    1. Pastore Francesco & Ferragina Anna Maria & Giovannetti Giorgia, 2009. "A Tale of Parallel Integration Processes: A Gravity Analysis of EU Trade with Mediterranean and Central and Eastern European Countries," Review of Middle East Economics and Finance, De Gruyter, vol. 5(2), pages 21-44, September.
    2. Binder, John J, 1998. "The Event Study Methodology since 1969," Review of Quantitative Finance and Accounting, Springer, vol. 11(2), pages 111-137, September.
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    5. K. Kalirajan, 1999. "Stochastic varying coefficients gravity model: An application in trade analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(2), pages 185-193.
    6. Dasgupta, Susmita & Laplante, Benoit & Mamingi, Nlandu, 1998. "Capital markets responses to environmental performance in developing countries," Policy Research Working Paper Series 1909, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Shahriar Kabir & Ruhul Salim, 2016. "Can A Common Currency Induce Intra-Regional Trade? The Southeast Asian Perspective," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(3), pages 218-234, November.
    2. Edward Nissan & Shahdad Naghshpour, 2014. "Comparing U.S. regions for selected economic and financial variables," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 528-540, July.
    3. Javeria Maryam & Ashok Mittal, 2019. "An empirical analysis of India’s trade in goods with BRICS," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 66(4), pages 399-421, December.
    4. Sushil Kumar & Shahid Ahmed, 2015. "Gravity Model by Panel Data Approach," Foreign Trade Review, , vol. 50(4), pages 233-249, November.

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    More about this item

    Keywords

    Currency Union; Intra-Regional Trade; Event Study; Trade Deepening;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

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