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Modelling trade and other economic interactions between countries in baseline projections

Author

Listed:
  • Eddy Bekkers
  • Alessandro Antimiani
  • Caitlyn Carrico
  • Dorothee Flaig
  • Lionel Fontagné

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Jean Foure
  • Joseph Francois
  • Ken Itakura
  • Zornitsa Kutlina-Dimitrova
  • William Powers
  • Bert Saveyn
  • Roberto Teh
  • Frank van Tongeren
  • Marino Tsigas

Abstract

This paper examines the way trade and other economic interactions between countries aremodelled in the construction of baseline projections with recursive dynamic computable general equilibrium (CGE) models. Simulations are conducted on the size of tradeelasticities, the way the trade balance is modelled (macroeconomic closure), trade growth, andenergy prices. Other topics scrutinized are the modelling of zeros, modelling of new technologies and new types of trade policies (trade in data and digitalization), phasing in of future trade policies, and migration and remittances. We conclude that there is relative consensus about the use of nested Armington preferences, whereas different scholars model the trade balance very differently. The discrepancy between baseline trade growth and historical trade growth is not considered in most models though highly relevant. Research efforts, both in terms of modelling and data collection, should be allocated to a better coverage of other items on the current account (capital income, remittances) and theinclusion of net foreign debt and asset positions,projecting trade growth based on historical patterns, and better tools to model the rapidly growing digital economy.

Suggested Citation

  • Eddy Bekkers & Alessandro Antimiani & Caitlyn Carrico & Dorothee Flaig & Lionel Fontagné & Jean Foure & Joseph Francois & Ken Itakura & Zornitsa Kutlina-Dimitrova & William Powers & Bert Saveyn & Robe, 2020. "Modelling trade and other economic interactions between countries in baseline projections," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03171653, HAL.
  • Handle: RePEc:hal:cesptp:hal-03171653
    DOI: 10.21642/JGEA.050107AF
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    4. Gretton, Paul, 2021. "Historical validation of saving and trade intensities using the GDyn-FS model and historically informed baseline projections," Conference papers 333270, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Jean Foure & Angel Aguiar & Ruben Bibas & Jean Chateau & Shinichiro Fujimori & Julien Lefevre & Marian Leimbach & Luis Rey-Los-Santos & Hugo Valin, 2020. "Macroeconomic Drivers of Baseline Scenarios in Dynamic CGE models: Review and Guidelines Proposal," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 28-62, June.
    6. Zhao, Xin & Calvin, Katherine V. & Wise, Marshall A. & Iyer, Gokul, 2021. "The role of global agricultural market integration in multiregional economic modeling: Using hindcast experiments to validate an Armington model," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 1-17.
    7. Clora, Francesco & Yu, Wusheng & Corong, Erwin, 2023. "Alternative carbon border adjustment mechanisms in the European Union and international responses: Aggregate and within-coalition results," Energy Policy, Elsevier, vol. 174(C).
    8. Winchester, Niven & White, Dominic, 2022. "The Climate PoLicy ANalysis (C-PLAN) Model, Version 1.0," Energy Economics, Elsevier, vol. 108(C).
    9. Bekkers, Eddy & Corong, Erwin L. & Métivier, Jeanne & Orlov, Daniil, 2023. "How will global trade patterns evolve in the long run?," WTO Staff Working Papers ERSD-2023-03, World Trade Organization (WTO), Economic Research and Statistics Division.

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