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Building a global database: consequences for the national I–O data

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  • Terrie Walmsley
  • Badri Narayanan
  • Angel Aguiar
  • Robert McDougall

Abstract

Global economic analysis requires consistent and balanced data, which necessitates the reconciliation of datasets from both national and international sources. In the case of the Global Trade Analysis Project Data Base, datasets supplied by international sources are considered preferable to national input–output (I–O) tables. As a result, the national I–O data can experience significant adjustments during the reconciliation process due to differences between the national and international datasets. The purpose of this paper is to examine the extent to which national I–O data change during reconciliation. The results demonstrate that the I–O data are altered by the construction process, particularly from the reconciliation of the national I–O data to the international trade and energy datasets. Closer examination reveals potential issues with both the trade and energy datasets, as well as the national I–O data – illustrating the challenges associated with reconciling data from multiple sources.

Suggested Citation

  • Terrie Walmsley & Badri Narayanan & Angel Aguiar & Robert McDougall, 2018. "Building a global database: consequences for the national I–O data," Economic Systems Research, Taylor & Francis Journals, vol. 30(4), pages 478-496, October.
  • Handle: RePEc:taf:ecsysr:v:30:y:2018:i:4:p:478-496
    DOI: 10.1080/09535314.2018.1440533
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    Cited by:

    1. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    2. Rossella Bardazzi & Leonardo Ghezzi, 2018. "A Multi-Scale System of Macroeconometric Models: the Inforum Approach," Studies on Russian Economic Development, Springer, vol. 29(6), pages 598-606, November.

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