Theoretical Foundation for the Pareto Distribution of International Trade Strength and Introduction of an Equation for International Trade Forecasting
Mikrajuddin Abdullah ()
Additional contact information
Mikrajuddin Abdullah: Bandung Institute of Technology
Atlantic Economic Journal, 2024, vol. 52, issue 1, No 3, 17-29
Abstract:
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.
Keywords: International trade; Coulomb force model; Pareto distribution; Forecasting; C10; C46; F10 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11293-024-09790-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:atlecj:v:52:y:2024:i:1:d:10.1007_s11293-024-09790-3
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11293/PS2
DOI: 10.1007/s11293-024-09790-3
Access Statistics for this article
Atlantic Economic Journal is currently edited by Kathleen S. Virgo
More articles in Atlantic Economic Journal from Springer, International Atlantic Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().