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The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?

Author

Listed:
  • Vêlayoudom Marimoutou

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Denis Peguin

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, Université de Provence - Aix-Marseille 1)

  • Anne Peguin-Feissolle

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we address the problem of the role of the distance between trading partners by assuming the variability of coefficients in a standard gravity model. The distance can be interpreted as an indicator of the cost of entry in a market (a fixed cost): the greater the distance, the higher the entry cost, and the more we need to have a large market to be able to cover a high cost of entry. To explore this idea, the paper uses a method called Flexible Least Squares. By allowing the parameters of the gravity model to vary over the observations, our main result is that the more the partner's GDP is large, the less the distance is an obstacle to trade.

Suggested Citation

  • Vêlayoudom Marimoutou & Denis Peguin & Anne Peguin-Feissolle, 2010. "The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?," Working Papers halshs-00536127, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00536127
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00536127v1
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    Cited by:

    1. Chessa, Michela & Persenda, Arnaud & Torre, Dominique, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," International Economics, Elsevier, vol. 175(C), pages 1-12.
    2. Pradeep Agrawal & Seema Sangita, 2017. "Trade Potential between India and Central Asia," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(4), pages 418-448, November.
    3. Salehi, Mahdi & Zamani, Mohamad, 2014. "Market Risk Recognition by Different Models in Listed Banks of Tehran Stock Exchange and OTC," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 9(1), pages 147-176, October.
    4. Anca Tamas & Dumitru Miron, 2021. "The Governance Impact on the Romanian Trade Flows. An Augmented Gravity Model," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 276-276, February.
    5. Lotfali Agheli & Unes Salmani & Mir Abdullah Hosseini, 2017. "Factors Affecting Market Share of Iranian Hand-woven Carpet in Singapore," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 500-505.
    6. Iman Pal & Saibal Kar, 2021. "Gravity Models in International Trade: An Exploration in Econo-Physics," South Asian Journal of Macroeconomics and Public Finance, , vol. 10(1), pages 72-104, June.

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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