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Behavioral Simulation Using Census Data
ResearchAgent-based modeling research exploring education-employment relationships using UK Census microdata.
Overview
💡 Challenge
Understanding complex relationships between education, employment, and demographics requires modeling individual-level behaviors.
⚡ Solution
Developed agent-based simulation using UK Census data to model employment transitions based on educational attainment and demographic factors.
🎯 Impact
Dissertation research providing insights into labor market dynamics and educational policy impacts.
Technical Details
🛠️ Tech Stack
PythonMesaPandasStatistical Modeling
✨ Key Features
- ✓Agent-based modeling framework
- ✓Census microdata integration
- ✓Employment transition probability modeling
- ✓Visualization of population dynamics
Key Learnings
- →Agent-based models require careful calibration with real data
- →Census microdata has complex sampling weights
- →Simulation validation is critical for credible research
📊 Data Notes
This project uses synthetic/open data to demonstrate capabilities while maintaining privacy and confidentiality. All methods and approaches are applicable to real-world scenarios.