This project analyzes defense spending trends among NATO member states using Python and panel data econometrics.
How did NATO countries change their defense spending after major geopolitical shocks such as:
- The 2014 Crimea crisis
- The 2022 Russia–Ukraine war
The analysis combines two datasets:
- SIPRI Military Expenditure Database
- World Bank GDP Data
These datasets were merged to calculate defense spending as a percentage of GDP for NATO countries.
The project includes the following steps:
- Data collection
- Data cleaning
- Dataset merging
- Feature engineering
- Exploratory data analysis
- Panel data regression (Fixed Effects model)
This figure shows the average defense spending of NATO countries as a percentage of GDP.
- Python
- Pandas
- Matplotlib
- Seaborn
- Linearmodels (PanelOLS)
- Statsmodels
Python | Data Analysis | Panel Econometrics
This project analyzes defense spending trends among NATO member states using Python and panel data econometrics.
How did NATO countries change their defense spending after major geopolitical shocks such as:
- The 2014 Crimea crisis
- The 2022 Russia–Ukraine war
The analysis combines two datasets:
- SIPRI Military Expenditure Database
- World Bank GDP Data
These datasets were merged to calculate defense spending as a percentage of GDP for NATO countries.
The project includes the following steps:
- Data collection
- Data cleaning
- Dataset merging
- Feature engineering
- Exploratory data analysis
- Panel data regression (Fixed Effects model)
This figure shows the average defense spending of NATO countries as a percentage of GDP.
- Python
- Pandas
- Matplotlib
- Seaborn
- Linearmodels (PanelOLS)
- Statsmodels
nato-defense-analysis │ ├── data │ ├── figures │ └── nato_trend.png │ ├── notebooks │ └── exploratory_analysis.ipynb │ ├── reports │ └── final_report.pdf │ ├── README.md ├── requirements.txt └── .gitignore
