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We exploit the integration of econometrics, data science and machine learning methods to understand and inform the process of economic development.


  1. nb-py-quarcs nb-py-quarcs Public

    Python computational notebooks to explore and learn

    Jupyter Notebook 2

  2. nb-r-quarcs nb-r-quarcs Public

    R computational notebooks to explore and learn

    R 1

  3. pysal-env pysal-env Public template

    Online environment to run spatial Jupyter notebooks using the Python Spatial Analysis Library (PySAL)

    Jupyter Notebook 1

  4. data-quarcs data-quarcs Public

    Datasets of the QuaRCS lab

    Jupyter Notebook 1

  5. r-spatial-env r-spatial-env Public template

    An environment to run spatial R-markdown notebooks

    R 1

  6. mendez2020-convergence-clubs-code-data mendez2020-convergence-clubs-code-data Public

    Data and code to replicate the findings of Mendez(2020). Includes a Stata tutorial: Convergence test and identification of clubs using Stata

    HTML 4 10


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