Economic Complexity calculations

Economic Complexity studies the geography and dynamics of economic activities using methods inspired in ideas from complex systems, networks, and computer science.

This package allows to calculate Economic Complexity measures. For further references about methodology and implicances of Economic Complexity itself, you can visit the Observatory of Economic Complexity at oec.world.

We also have a brief Tutorial, using data from the OEC, to get started on how to use the basic functions of this package.

Usage

This package contain the following functions:

• RCA:
  • rca
• Economic/Product Complexity:
  • complexity
  • complexity_subnational
• Product-space:
  • distance
  • opportunity_gain
  • proximity
  • relatedness
  • similarity
  • pgi
  • peii
• Cross-space:
  • cross_proximity
  • cross_relatedness

Each module is documented by docstring. Write in your python IDLE the module's name and question symbol to read the documentation.

ex. if you import the complexity package as import economic_complexity as ecplx then the command ecplx.rca? shows you the information about rca module)

Installation

The pyproject.toml file in this repository contains settings to use with poetry. You can generate an installable wheel file using the build command:

$ poetry build --format wheel

The package is also available on pypi.org, under the name economic-complexity. You can install it using poetry or pip.

$ poetry install economic-complexity

$ pip install economic-complexity

Development

The package currently declares optional dependency on pandas and polars, though we intend to move to polars completely. For development it is suggested you install all extras:

$ poetry install --all-extras

References

• Hidalgo, César A. (2021). Economic complexity theory and applications. Nature Reviews Physics, 3(2), 92–113. https://doi.org/10.1038/s42254-020-00275-1

• Catalán, P., Navarrete, C., & Figueroa, F. (2020). The scientific and technological cross-space: Is technological diversification driven by scientific endogenous capacity? Research Policy, 104016, 104016. https://doi.org/10.1016/j.respol.2020.104016

• Hidalgo, César A., & Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences of the United States of America, 106(26), 10570–10575. https://doi.org/10.1073/pnas.0900943106

• Hidalgo, C. A., Klinger, B., Barabási, A.-L., & Hausmann, R. (2007). The product space conditions the development of nations. Science (New York, N.Y.), 317(5837), 482–487. https://doi.org/10.1126/science.1144581

• Hartmann, D., Guevara, M. R., Jara-Figueroa, C., Aristarán, M., & Hidalgo, C. A. (2017). Linking Economic Complexity, Institutions, and Income Inequality. World Development, 93, 75–93. https://doi.org/10.1016/j.worlddev.2016.12.020

• Romero, J. P., & Gramkow, C. (2021). Economic complexity and greenhouse gas emissions. World Development, 139, 105317. https://doi.org/10.1016/j.worlddev.2020.105317

• Bahar, D., Hausmann, R., Hidalgo, C. A. (2014). Neighbors and the evolution of the comparative advantage of nations: Evidence of international knowledge diffusion?. Journal of International Economics, 92, 111-123. http://dx.doi.org/10.1016/j.jinteco.2013.11.001

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