遇见数据集

Banking Without Governance: The Paradox of Financial Performance Under Institutional Collapse in Haiti

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Zenodo2025-08-01 更新2026-05-26 收录
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This repository contains a Jupyter Notebook (haiti_governance_banking.ipynb) that reproduces the full analysis for the study: "Governance, Remittances, and Financial Sector Dynamics in Haiti." The notebook integrates governance data from V-Dem, macroeconomic indicators from the World Bank, and manually curated bank asset data to estimate the effects of democratic quality, corruption, and external capital inflows on Haiti’s banking sector over time. The notebook includes all code, variable construction, regression modeling, and visualizations. It is designed to be fully reproducible, modular, and adaptable to similar governance-focused country case studies. Contents haiti_governance_banking.ipynb: Executable Jupyter Notebook VDEM_trimmed.csv: Governance dataset (subset of V-Dem) GDPPC.csv: World Bank GDP per capita data Remitances_Haiti.csv: Remittance inflows to Haiti Bank_Plot.xlsx: Time-series data on total bank assets Requirements To run the notebook locally, ensure the following packages are installed: pip install pandas numpy statsmodels seaborn matplotlib openpyxl How to Run the Notebook You may run the notebook in any of the following environments: 🟢 Option 1: Google Colab (Recommended for most users) Go to https://colab.research.google.com Click "File" > "Upload notebook" and select haiti_governance_banking.ipynb Upload the required .csv and .xlsx files using the folder icon on the left panel Run cells sequentially by pressing Shift + Enter 🖥️ Option 2: Jupyter Notebook (Locally via Anaconda or Terminal) Ensure Python and Jupyter are installed (e.g., via Anaconda) Place all files in the same directory Open a terminal and run: jupyter notebook Navigate to haiti_governance_banking.ipynb in the browser and execute cells 🧪 Option 3: JupyterLab or VS Code You can also run the notebook using: JupyterLab (jupyter lab) for a more advanced interface Visual Studio Code with the Jupyter extension License This dataset and notebook are released under the MIT License. Please cite this Zenodo record if used in published work. Let me know if you'd like me to generate a full README.md to pair with the Zenodo archive or GitHub repo, or prepare a .zip archive structure with all required files.

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创建时间:
2025-08-01
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