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Theoretical Foundation for the Pareto Distribution of International Trade Strength and Introduction of an Equation for International Trade Forecasting

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  • Mikrajuddin Abdullah

    (Bandung Institute of Technology
    Bandung Innovation Center)

Abstract

A theoretical foundation for predicting the distribution of trade strength and the rate of change of trade strength was developed. These two quantities were found to satisfy the Pareto distribution function. The equations were confirmed using data from the World Integrated Trade Solution and the World Bank by comparing the Akaike information criterion and Bayesian information criterion to five types of distribution functions (exponential, lognormal, gamma, Pareto, and Weibull). Furthermore, the fitted Pareto power parameter is quite similar to the theoretical prediction. The developed distribution function is expected to be useful in forecasting international trade in countries and global economics, enabling the implementation of optimal policies.

Suggested Citation

  • Mikrajuddin Abdullah, 2024. "Theoretical Foundation for the Pareto Distribution of International Trade Strength and Introduction of an Equation for International Trade Forecasting," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 52(1), pages 17-29, March.
    • Handle: RePEc:kap:atlecj:v:52:y:2024:i:1:d:10.1007_s11293-024-09790-3
    DOI: 10.1007/s11293-024-09790-3
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    References listed on IDEAS

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    1. Thomas Chaney, 2018. "The Gravity Equation in International Trade: An Explanation," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 150-177.
    2. repec:hal:spmain:info:hdl:2441/3pucspchqi8kcpk743av62v2va is not listed on IDEAS
    3. Peter Nijkamp & Waldemar Ratajczak, 2021. "Gravitational Analysis in Regional Science and Spatial Economics: A Vector Gradient Approach to Trade," International Regional Science Review, , vol. 44(3-4), pages 400-431, May.
    4. Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258, November.
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