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A curated list of datasets, tools, models, institutions, and learning resources for economics, spanning microeconomics, macroeconomics, econometrics, finance, and public policy.
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- Foundations & References
- Macroeconomics
- Microeconomics
- Econometrics & Modeling
- Economic Data Sources
- Computational Economics
- Policy & Development Economics
- Financial & Monetary Economics
- Visualization & Analysis Tools
- Learning Resources
- Related Awesome Lists
- Economics Stack Exchange – Community Q&A on economic theory and methods.
- CORE-Econ – Open-access economics textbooks.
- NBER – Leading source of economic research papers.
- Journal of Economic Perspectives – Accessible analysis of economic research.
- FRED – Extensive macroeconomic time-series database.
- IMF Data – Global macroeconomic and financial statistics.
- World Bank Data – Development and macroeconomic indicators.
- OECD Data – Economic statistics for developed economies.
- Penn World Table – Cross-country productivity and income data.
- Experimental Economics Database – Data from controlled economic experiments.
- Consumer Expenditure Survey – Household spending data from the U.S. BLS.
- IO Economics Resources – Industrial organization datasets and papers.
- Statsmodels – Econometric modeling in Python.
- R econometrics packages – Comprehensive list of R econometrics tools.
- Stata – Statistical software widely used in economics.
- EViews – Econometrics and forecasting software.
- Gretl – Open-source econometrics software.
- IPUMS – Harmonized census and survey microdata.
- Bureau of Labor Statistics – Employment, inflation, and wage data.
- Eurostat – European Union economic statistics.
- UN Data – Global economic and social indicators.
- Open Economic Data – Index of open economic datasets.
- Eulerpool – Financial data API with macroeconomic series from FRED, ECB, IMF, World Bank, Eurostat, OECD and BIS.
- Dynare – DSGE modeling platform.
- QuantEcon – Open-source computational economics tools.
- JuliaEconomics – Julia packages for economic modeling.
- PyEcon – Python tools for economic simulation.
- J-PAL – Evidence-based policy research.
- Our World in Data – Data-driven insights on global development.
- AidData – Development finance and aid datasets.
- World Inequality Database – Income and wealth inequality data.
- BIS Statistics – Global banking and monetary data.
- Federal Reserve Publications – Monetary policy research.
- CRSP – Financial market datasets.
- Fama-French Data Library – Asset pricing factors.
- pandas – Data analysis library used in empirical economics.
- ggplot2 – Grammar-of-graphics plotting in R.
- Plotly – Interactive economic data visualizations.
- Tableau – BI tool used for economic dashboards.
- MIT OpenCourseWare – Economics – University-level economics courses.
- Marginal Revolution University – Short, high-quality economics lessons.
- Econometrics Academy – Advanced econometrics lectures.
Contributions are welcome. Please ensure your submission fully follows the requirements outlined in CONTRIBUTING.md, including formatting, scope alignment, and category placement.
Pull requests that do not adhere to the contribution guidelines may be closed.