UK Social Impact Bond Funding Patterns – Code & Data

This repository contains the code, data, and outputs from my Master’s dissertation, which examines capital allocation patterns across UK Social Impact Bonds (SIBs).
The analysis uses a custom-compiled dataset and a Gamma Generalized Linear Model (GLM) to explore how funding varies across policy sectors, and what this reveals about investor priorities.

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Data Sources

This folder contains:

• Data outputs generated by the code scripts.
• Supplementary datasets collected from external sources.
• update_log.csv, which documents all changes made when integrating the INDIGO Impact Bond Database output with supplementary datasets.

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Code Scripts

This folder contains the Python scripts used to collect, process, and analyze the data.

Run the scripts in the following order:

1. api_code.py – Extracts SIB project data from the INDIGO Impact Bond Database.
2. add_supplementary.py – Integrates additional data from external sources.
3. model.py – Runs the statistical models and generates outputs for analysis.

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Figures

This folder contains key visual outputs from the dissertation analysis.

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Final Dissertation

This folder contains the final dissertation paper.

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Installation

To run the analysis locally, clone this repository and install the required Python packages:

pip install -r requirements.txt