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This package contains functions to calculate Economic Complexity indicators.
The functions handle the data through pandas.DataFrame objects.

Installation

We recommend the use of poetry, to resolve the best version of the dependencies that works with your current project.

$ poetry add economic-complexity

Tutorial

We have a brief Tutorial, using data from the Observatory of Economic Complexity, to get started on how to use the basic functions of this package.
More complex functions use the resulting dataframes of the basic functions as arguments.

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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This project is licensed under MIT.