This repo contains the code for the study
The following raw datasets are use in this work:
- ICIO2018_20**.zip: Inter-Country Input Output (ICIO) tables - http://www.oecd.org/sti/ind/inter-country-input-output-tables.htm
- MIG_12082020131505678.csv : International migration database - https://stats.oecd.org/Index.aspx?DataSetCode=MIG
- DP_LIVE_13102020161705689.csv: Gini coefficient - https://data.oecd.org/inequality/income-inequality.htm
- DP_LIVE_06072020200357239.csv: Population - https://data.oecd.org/pop/population.htm
- DP_LIVE_06072020184943320.csv: Working population expressed as a percentage of the country's total population - https://data.oecd.org/pop/working-age-population.
- API_NE.GDI.TOTL.CD_DS2_en_excel_v2_1742937.xls: Gross capital formation (current US$) from World Bank database - https://data.worldbank.org/indicator/NE.GDI.TOTL.CD?page=1
htm#indicator-chart
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- Scripts to download or generate data
│ │ └── make_dataset.py
│ │
│ ├── features <- Scripts to turn raw data into features for modeling
│ │ └── build_features.py
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │ ├── predict_model.py
│ │ └── train_model.py
│ │
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
│ └── visualize.py
│
└── tox.ini <- tox file with settings for running tox; see tox.readthedocs.io
Project based on the cookiecutter data science project template. #cookiecutterdatascience