{
  "title": "Calculating Trade in Value Added",
  "publication": "IMF Working Papers, July 31, 2017",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114",
  "canonical": "https://www.imf.org/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114",
  "overlayPath": "/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/index.md",
  "summary": "This paper sets out the key concepts necessary to calculate trade in value added using input-output tables. We explain the basic structure of an input-output table and the matrix algebra behind the computation of trade in value added statistics.",
  "sections": [
    {
      "heading": "Summary and purpose",
      "content": "- This paper sets out the key concepts necessary to calculate trade in value added using input-output tables.\n- Aim: provide an introduction to the analysis of global value chains for use in policy work.\n- Accompanying materials: an accompanying suite of Matlab codes that can be used with the full set of Eora MRIO tables."
    },
    {
      "heading": "Methodology and data",
      "content": "- Explains the basic structure of an input-output table and the matrix algebra behind the computation of trade in value added statistics.\n- Works in detail with an example of a global input-output table for 3 countries each with 4 sectors, provided by the Eora Multi-Region Input-Output (MRIO) database.\n- Computations and measures covered:\n  - domestic value-added\n  - foreign value added\n  - forward linkages\n  - backward linkages\n  - measures of a country’s participation in global value chains\n  - measures of a country’s position in global value chains"
    },
    {
      "heading": "Key findings and measures",
      "content": "- The paper provides explicit computation methods for:\n  - DVXGross export (as listed in Keywords)\n  - value-added export and exports decomposition from an export perspective\n  - use of inverse matrix and matrix algebra to derive trade in value added statistics\n- Subject areas: Exports, Global value chains, Globalization, International trade"
    },
    {
      "heading": "Practical resources and usage",
      "content": "- Example implementation: detailed walkthrough using the Eora MRIO example (3 countries × 4 sectors).\n- Reproducibility: Matlab codes provided to apply the methods to the full Eora MRIO tables.\n- Intended users: policy practitioners and researchers engaged in global value chain analysis.\n\n---\n\n Content in this bundle\n\n- Calculating Trade in Value Added, WP/17/178, July 2017\n  - Calculating Trade in Value Added, WP/17/178, July 2017 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Calculating Trade in Value Added, WP/17/178, July 2017 (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114"
    }
  ],
  "bullets": [
    "[Markdown version](/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/index.md)",
    "[Structured JSON version](/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/index.json)",
    "[Bundle manifest](/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/bundle-manifest.json)",
    "Authors: Aqib Aslam, Natalija Novta, Fabiano Rodrigues Rodrigues Bastos",
    "Published: July 31, 2017",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781484311493.001",
    "This paper sets out the key concepts necessary to calculate trade in value added using input-output tables.",
    "Aim: provide an introduction to the analysis of global value chains for use in policy work.",
    "Accompanying materials: an accompanying suite of Matlab codes that can be used with the full set of Eora MRIO tables.",
    "Explains the basic structure of an input-output table and the matrix algebra behind the computation of trade in value added statistics.",
    "Works in detail with an example of a global input-output table for 3 countries each with 4 sectors, provided by the Eora Multi-Region Input-Output (MRIO) database.",
    "Computations and measures covered:",
    "The paper provides explicit computation methods for:",
    "Subject areas: Exports, Global value chains, Globalization, International trade",
    "Example implementation: detailed walkthrough using the Eora MRIO example (3 countries × 4 sectors).",
    "Reproducibility: Matlab codes provided to apply the methods to the full Eora MRIO tables.",
    "Intended users: policy practitioners and researchers engaged in global value chain analysis.",
    "**Calculating Trade in Value Added, WP/17/178, July 2017**"
  ],
  "related": [
    {
      "title": "Calculating Trade in Value Added, WP/17/178, July 2017",
      "role": "document",
      "sourceUrl": "https://www.imf.org/-/media/files/publications/wp/2017/wp17178.pdf",
      "summary": {
        "path": "/-/media/files/publications/wp/2017/wp17178.pdf.md",
        "mime": "text/markdown"
      },
      "binary": {
        "path": "/-/media/files/publications/wp/2017/wp17178.pdf",
        "mime": "application/pdf"
      }
    }
  ],
  "alternates": {
    "markdown": "/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/index.md",
    "json": "/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/index.json",
    "bundleManifest": "/en/publications/wp/issues/2017/07/31/calculating-trade-in-value-added-45114/bundle-manifest.json"
  },
  "generatedAtUtc": "2026-09-18T12:00:48.389Z"
}
