IDEAS home Printed from https://ideas.repec.org/a/kap/atlecj/v52y2024i1d10.1007_s11293-024-09790-3.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11293-024-09790-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11293-024-09790-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mikrajuddin Abdullah, 2023. "A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning," Papers 2308.06303, arXiv.org.
    2. Mikrajuddin Abdullah, 2023. "Theoretical foundation for the Pareto distribution of international trade strength and introduction of an equation for international trade forecasting," Papers 2309.00635, arXiv.org.
    3. Hildegunn K. Nordås & Dorothée Rouzet, 2017. "The Impact of Services Trade Restrictiveness on Trade Flows," The World Economy, Wiley Blackwell, vol. 40(6), pages 1155-1183, June.
    4. Markus Brueckner & Ngo Van Long & Joaquin L. Vespignani, 2020. "Non-Gravity Trade," Globalization Institute Working Papers 388, Federal Reserve Bank of Dallas.
    5. Jeffrey S. Racine & Qi Li & Dalei Yu & Li Zheng, 2023. "Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1251-1261, October.
    6. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
    7. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    8. Yongke Yuan & Yitong Wang & Jialin Li & Mengwan Zhang, 2023. "Input-output Table and Input-output Model of Import and Export Internalization," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(6), pages 1-15.
    9. Stephan Maurer & Ferdinand Rauch, 2023. "Economic geography aspects of the Panama Canal," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 142-162.
    10. Zhongqi Liang & Qihua Wang & Yuting Wei, 2022. "Robust model selection with covariables missing at random," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(3), pages 539-557, June.
    11. Martin, Will, 2020. "Making Gravity Great Again," 2020: Economic Implications of COVID-19, December 14-15, Virtual Platform 339376, International Agricultural Trade Research Consortium.
    12. Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
    13. Ernest Liu & Aleh Tsyvinski, 2021. "Dynamical Structure and Spectral Properties of Input-Output Networks," Working Papers 2021-13, Princeton University. Economics Department..
    14. Schomaker Michael & Heumann Christian, 2011. "Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-15, January.
    15. Tumala, Mohammed M & Olubusoye, Olusanya E & Yaaba, Baba N & Yaya, OlaOluwa S & Akanbi, Olawale B, 2017. "Forecasting Nigerian Inflation using Model Averaging methods: Modelling Frameworks to Central Banks," MPRA Paper 88754, University Library of Munich, Germany, revised Feb 2018.
    16. José Manuel Cordero Ferrera & Manuel Muñiz Pérez & Rosa Simancas Rodríguez, 2015. "The influence of socioeconomic factors on cognitive and non-cognitive educational outcomes," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 21, pages 413-438, Asociación de Economía de la Educación.
    17. Naoya Sueishi & Arihiro Yoshimura, 2017. "Focused Information Criterion for Series Estimation in Partially Linear Models," The Japanese Economic Review, Japanese Economic Association, vol. 68(3), pages 352-363, September.
    18. Anna Wong, 2017. "China’s Current Account : External Rebalancing or Capital Flight?," International Finance Discussion Papers 1208, Board of Governors of the Federal Reserve System (U.S.).
    19. Thomas Chaney, 2014. "The Network Structure of International Trade," American Economic Review, American Economic Association, vol. 104(11), pages 3600-3634, November.
    20. Álvarez, Inmaculada C. & Barbero, Javier & Rodríguez-Pose, Andrés & Zofío, José L., 2018. "Does Institutional Quality Matter for Trade? Institutional Conditions in a Sectoral Trade Framework," World Development, Elsevier, vol. 103(C), pages 72-87.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:atlecj:v:52:y:2024:i:1:d:10.1007_s11293-024-09790-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.