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Trade Between WAEMU And EU Countries Ante-Brexit : Lessons From A Gravity Model

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  • Coulibaly Niénéyéri Mamadou

    (UJloG - Université Jean Lorougnon Guédé)

Abstract

The aim of this study is to analyse trade between the member countries of the West African Economic and Monetary Union (WAEMU) and those of the European Union (EU) pre-Brexit over the period 2014-2019. It estimates a gravity model based on panel data. Three econometric estimation techniques are used : the WITHIN method, the Generalised Least Squares (GLS) method and the Hausman and Taylor (HT) method. These different estimation techniques are then compared to determine which is the most appropriate. The data used are secondary data from several sources : the International Monetary Fund (World Economic Outlook), the World Bank (World Development Indicators), the United Nations (UN Comtrade) and the ephemeride website. The results show that trade between these two groups of countries is positively and significantly influenced by income in WAEMU countries, infrastructure in WAEMU countries and population in EU countries. They also show that when an EU country is landlocked, its trade flows with WAEMU countries are reduced, while at the same time, the landlocked status of a WAEMU country does not affect its trade with EU countries. Variables such as the bilateral real exchange rate, distance, language and colonial links were found to be insignificant.

Suggested Citation

  • Coulibaly Niénéyéri Mamadou, 2023. "Trade Between WAEMU And EU Countries Ante-Brexit : Lessons From A Gravity Model," Post-Print hal-04316401, HAL.
  • Handle: RePEc:hal:journl:hal-04316401
    DOI: 10.5281/zenodo.10159642
    Note: View the original document on HAL open archive server: https://hal.science/hal-04316401
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    References listed on IDEAS

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    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
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    More about this item

    Keywords

    Trade; Trade flows; Gravity model; EU; WAEMU and Brexit;
    All these keywords.

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