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Sorting, Matching and Economic Complexity

Author

Listed:
  • Muhammed A. Yildirim

    (Center for International Development at Harvard University)

Abstract

Assignment models in trade predict that countries with higher productivity levels are assortatively matched to industries that make better use of these higher levels. Here, we assume that the driver of productivity differences is the differential distribution of factors among countries. Utilizing such a structure, we define and estimate the average factor level (AFL) for countries and products using only the information about the production patterns. Interestingly, our estimates coincide with the complexity variables of (Hidalgo and Hausmann, 2009), providing an underlying economic rationale. We show that AFL is highly correlated with country-level characteristics and predictive of future economic growth.

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Handle: RePEc:glh:wpfacu:173
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File URL: https://growthlab.cid.harvard.edu/files/growthlab/files/2021-03-cid-wp-392-supermodularity-eci.pdf
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More about this item

Keywords

International Trade; Supermodularity; Ricardian Model; Assignment Models; Sorting; Complexity; Economic Complexity.;
All these keywords.

JEL classification:

  • F10 - International Economics - - Trade - - - General
  • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
  • F14 - International Economics - - Trade - - - Empirical Studies of Trade
  • 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

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