Welcome to the Rutgers Economics Labs organization! We are a research and educational initiative at Rutgers University dedicated to conducting cutting-edge economic research, developing innovative tools, and providing hands-on learning opportunities for students in economics and data science.
Rutgers Economics Labs bridges the gap between economic theory and real-world applications through:
- Applied Research: Conducting empirical studies on important economic questions
- Data Analysis: Leveraging modern data science techniques to analyze economic phenomena
- Educational Projects: Providing undergraduate and graduate students with practical research experience
- Open Science: Sharing our code, data, and methodologies with the broader research community
Our main public-facing website built with Next.js and TypeScript. Visit rutgerseconomics.org to learn more about our programs, research, and opportunities.
An ongoing research project utilizing NJ demographic data to forcast NJ's population and labor force growth using the cohort component method.
Research Focus: labor economics, forecasting, population economics
An ongoing research project analyzing incarceration patterns and economic outcomes in Virginia.
Research Focus: Criminal justice economics, labor economics, policy analysis
- rutgerseconomics.org: Main organizational website and public presence
- Research Projects: Semester-based research initiatives
- Infrastructure Repositories: Supporting tools and configurations for our research work
We welcome Rutgers students interested in:
- Applied econometrics and data analysis
- Research assistance on economic policy questions
- Building technical skills in Python, R, and modern data science tools
- Contributing to open-source economic research
Contact us through our website to learn about current opportunities.
We are committed to open science and reproducible research. Our repositories contain:
- Well-documented code and analysis notebooks
- Data sources and processing scripts (where permissible)
- Research methodologies and results
Feel free to:
- Use our code and methodologies in your own research (with proper attribution)
- Open issues for questions or suggestions
- Propose collaborations on related research questions
Our research projects primarily use:
- Languages: Python, R, TypeScript/JavaScript
- Data Analysis: Jupyter notebooks, Pandas, NumPy, ggplot2
- Web Development: Next.js, React, TailwindCSS
- Version Control: Git, GitHub
- Documentation: Markdown, LaTeX
We welcome contributions from the community! Whether you're fixing a bug, improving documentation, or proposing new features:
- Fork the relevant repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please ensure your code follows existing style conventions and includes appropriate documentation.
Unless otherwise specified, our projects are released under the MIT License. See individual repositories for specific licensing information.
- Website: rutgerseconomics.org
- Organization: Rutgers University Economics Department
- GitHub: @Rutgers-Economics-Labs
Advancing economic research through data, code, and collaboration at Rutgers University.
