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Analyzing Common Market Options in the Scope of OIC

Author

Listed:
  • Cemaleddin Gulenay

    (Islamic Economics and International Finance, Istanbul Sabahattin Zaim University, Istanbul, Türkiye)

  • Ibrahim Guran Yumusak

    (Economics, Istanbul Sabahattin Zaim University, Istanbul, Türkiye)

Abstract

This paper initially employs the gravity model in order to analyze the trade data of selected 23 OIC countries and its 4 different subgroups. Then it applies stochastic frontier analysis to the model to gain efficiency scores and uncapped trade potential among countries in order to determine whether the group would have trade creation effect once they go for a Common Market structure. According to the statistical results, the 23 country group gives statistically significant results while deriving a %62 uncapped trade potential among group countries. Additionally, the 13-country subgroup also gives statistically significant results while deriving a %59 uncapped trade potential among them. While there are a number of studies which applies stochastic frontier analysis to the gravity model and gains efficiency scores, this study is the first to employ the method for OIC countries in order to determine the best possible country group for a Common Market without having trade diversion affect. The purpose of this study is to determine the Common Market options for Türkiye in the scope OIC in order to be a reference point for future Common Market initiatives.

Suggested Citation

  • Cemaleddin Gulenay & Ibrahim Guran Yumusak, 2023. "Analyzing Common Market Options in the Scope of OIC," International Econometric Review (IER), Econometric Research Association, vol. 15(2), pages 28-44, September.
  • Handle: RePEc:erh:journl:v:15:y:2023:i:2:p:28-44
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    References listed on IDEAS

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    More about this item

    Keywords

    Gravity Model; Stochastic Frontier Analysis; Common Market; OIC;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F15 - International Economics - - Trade - - - Economic Integration

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