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A Structural Ranking of Economic Complexity

Author

Listed:
  • Ulrich Schetter

    (Center for International Development at Harvard University)

Abstract

We propose a structural alternative to the Economic Complexity Index (ECI, Hidalgo and Hausmann 2009; Hausmann et al. 2011) that ranks countries by their complexity. This ranking is tied to comparative advantages. Hence, it reveals information different from GDP per capita on the deep underlying economic capabilities of countries. Our analysis proceeds in three main steps: (i) We first consider a simplified trade model that is centered on the assumption that countries’ global exports are log-supermodular (Costinot, 2009a), and show that a variant of the ECI correctly ranks countries (and products) by their complexity. This model provides a general theoretical framework for ranking nodes of a weighted (bipartite) graph according to some under- lying unobservable characteristic. (ii) We then embed a structure of log-supermodular productivities into a multi-product Eaton and Kortum (2002)-model, and show how our main insights from the simplified trade model apply to this richer set-up. (iii) We finally implement our structural ranking of economic complexity. The derived ranking is robust and remarkably similar to the one based on the original ECI.

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Handle: RePEc:glh:wpfacu:148
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File URL: https://growthlab.cid.harvard.edu/files/growthlab/files/2019-11-cid-fellows-wp-119-structural-rank-ec.pdf
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More about this item

Keywords

bipartite graph; economic complexity; international trade; laplacian matrix; log-supermodularity; monotonic eigenvector; ranking;
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
  • O49 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other

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