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A Machine Learning Approach to Forecast International Trade: The Case of Croatia

Author

Listed:
  • Jošić Hrvoje

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia)

  • Žmuk Berislav

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia)

Abstract

Background: This paper presents a machine learning approach to forecast Croatia’s international bilateral trade.

Suggested Citation

  • Jošić Hrvoje & Žmuk Berislav, 2022. "A Machine Learning Approach to Forecast International Trade: The Case of Croatia," Business Systems Research, Sciendo, vol. 13(3), pages 144-160, October.
    • Handle: RePEc:bit:bsrysr:v:13:y:2022:i:3:p:144-160:n:2
    DOI: 10.2478/bsrj-2022-0030
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    References listed on IDEAS

    as
    1. Avi Goldfarb & Daniel Trefler, 2018. "Artificial Intelligence and International Trade," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 463-492, National Bureau of Economic Research, Inc.
    2. Nyoni, Thabani, 2019. "Exports and imports in Zimbabwe: recent insights from artificial neural networks," MPRA Paper 96906, University Library of Munich, Germany.
    3. Assaf Almog & Rhys Bird & Diego Garlaschelli, 2015. "Enhanced Gravity Model of trade: reconciling macroeconomic and network models," Papers 1506.00348, arXiv.org, revised Feb 2019.
    4. Zekić-Sušac Marijana & Pfeifer Sanja & Šarlija Nataša, 2014. "A Comparison of Machine Learning Methods in a High-Dimensional Classification Problem," Business Systems Research, Sciendo, vol. 5(3), pages 82-96, September.
    5. Quimba, Francis Mark A. & Barral, Mark Anthony A., 2018. "Exploring Neural Network Models in Understanding Bilateral Trade in APEC: A Review of History and Concepts," Discussion Papers DP 2018-33, Philippine Institute for Development Studies.
    6. Koffi Dumor & Li Yao, 2019. "Estimating China’s Trade with Its Partner Countries within the Belt and Road Initiative Using Neural Network Analysis," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    machine learning; WEKA; international trade; MAPE; Multilayer perceptron; Croatia;
    All these keywords.

    JEL classification:

    • B17 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - International Trade and Finance
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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