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Implied Comparative Advantage

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  • Muhammed A. Yildirim

    (Center for International Development at Harvard University)

Abstract

The comparative advantage of a location dictates its industrial structure. Current theoretical models based on this principle do not take a stance on how comparative advantages in different industries or locations correlate with each other, or what such patterns of correlation might imply about the underlying process that governs the evolution of comparative advantage. In fact, we find that correlations do appear to exist: industries tend to exhibit output intensities that are systematically correlated across locations, and locations tend to have output intensities that are correlated across industries. We give evidence that these patterns are present in a wide variety of contexts, namely the export of goods (internationally) and the employment, payroll and number of establishments across the industries of subnational regions (in the US, Chile and India). We then calculate the industry intensities that are implied by related industries or related locations, and show that these measures explain much of the location’s current industrial structure. Furthermore, the deviations between the actual industry structure and our implied comparative advantage measures tend to be highly predictive of future industry growth, especially at horizons of a decade or more; this explanatory power holds at both the intensive as well as the extensive margin. These results indicate that future productivity is already implied in today’s patterns of production.

Suggested Citation

  • Muhammed A. Yildirim, 2014. "Implied Comparative Advantage," CID Working Papers 276, Center for International Development at Harvard University.
  • Handle: RePEc:cid:wpfacu:276
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    4. Lyubimov, Ivan L. (Любимов, Иван) & Gvozdeva, Margarita V. (Гвоздева, Маргарита) & Lysyuk, Maria A. (Лысюк, Мария), 2018. "Measuring Regional Development with the Network Theory Approach [Использование Теории Сетей При Составлении Рейтингов Развития Региональных Экономик]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 206-233, June.
    5. Neave O'Clery & Samuel Heroy & Francois Hulot & Mariano Beguerisse-D'iaz, 2019. "Unravelling the forces underlying urban industrial agglomeration," Papers 1903.09279, arXiv.org, revised Jun 2019.
    6. Aribah Aslam & Amjad Naveed & Ghulam Shabbir, 2021. "Is it an institution, digital or social inclusion that matters for inclusive growth? A panel data analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 333-355, February.
    7. Neffke, Frank M.H. & Otto, Anne & Weyh, Antje, 2017. "Inter-industry labor flows," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 275-292.
    8. Dario Diodato & Frank Neffke, & Neave O’Clery, 2016. "Agglomeration economies: the heterogeneous contribution of human capital and value chains," Papers in Evolutionary Economic Geography (PEEG) 1626, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2016.
    9. Giovanni Dosi & Matteo Tranchero, 2018. "The Role of Comparative Advantage, Endowments and Technology in Structural Transformation," LEM Papers Series 2018/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Eduardo Lora, 2016. "The Path to Labor Formality: Urban Agglomeration and the Emergence of Complex Industries," CID Working Papers 78, Center for International Development at Harvard University.
    11. Julien Gourdon & Laura Hering & Stéphanie Monjon & Sandra Poncet, 2019. "Trade policy repercussions: the role of local product space -Evidence from China," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02065779, HAL.
    12. Ricardo Hausmann & Jose Ramon Morales Arilla & Miguel Angel Santos, 2016. "Panama beyond the Canal: Using Technological Proximities to Identify Opportunities for Productive Diversification," CID Working Papers 324, Center for International Development at Harvard University.
    13. Diodato, Dario & Neffke, Frank & O’Clery, Neave, 2018. "Why do industries coagglomerate? How Marshallian externalities differ by industry and have evolved over time," Journal of Urban Economics, Elsevier, vol. 106(C), pages 1-26.
    14. Neave O'Clery & Eduardo Lora, 2016. "City Size, Distance and Formal Employment," CID Working Papers 77, Center for International Development at Harvard University.
    15. Hausmann, Ricardo & Morales, Jose Ramon & Santos, Miguel Angel, 2016. "Economic Complexity in Panama: Assessing Opportunities for Productive Diversification," Working Paper Series rwp16-046, Harvard University, John F. Kennedy School of Government.

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    More about this item

    Keywords

    Implied Comparative Advantage; US; Chile; India;
    All these keywords.

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • F10 - International Economics - - Trade - - - General
    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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