Your first time on this page? Allow me to give some explanations.
A curated collection of links for economists
Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.
Thank you antontarasenko & contributors
View Topic on GitHub:
Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.
Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.
😎 Awesome lists about all kinds of interesting topics
Over 100 courses covering all major fields of economics. Courses include prerequisites, recommended textbooks, lecture slides, and assignments. Undergraduate and graduate programs.
.edu and other educational domains. These materials are more reliable than the big Internet.
These equations show principles behind "thinking like an economist". Graduate textbooks put these equiations in context.
Top economists reflect on policy-related issues. Some answers contain useful details.
Web services for economic researchers: bibliography, blog aggregator, new working papers, software.
Articles and Working Papers
The largest database of economics publications (2,000,000 items). Searching through papers is easier with Google:
site:ideas.repec.org <search term>. Index sources mentioned below.
Working papers by major researchers. Many of these papers get published in peer-reviewed journal.
380,000 (macro) time series from 80 sources. Supports plugins for importing data into Excel, Stata, R, and others. Has a mobile app.
Get the data you need in the form you want; instant download, API or direct to your app.
Overview of macro data sources.
Over 1,000,000 government datasets. When works, this service looks like this. Otherwise, you'll see a 403 error.
Google-based search over 200 data sources, including those mentioned here. You can use Google search operators here.
If you haven't found the data you were looking for, you can ask it here.
Economists write in LaTeX because it handles mathematics and references better than Word or LibreOffice. If you write regularly, LaTeX is worth learning.
Free, easy-to-use tool to help you collect, organize, cite, and share research.
An industry standard for statistical computations in economics. Free alternatives:
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab)
High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.
Replaces large files such as datasets with text pointers inside Git.
A community-managed list of common software.
Covers software mentioned above and some more.
A Google-based search service for aforementioned blogs.
A Q&A website where you can ask and answer questions.
Overview of the programs, requirements, and advices to those considering a PhD program in economics.
The job board by the American Economic Association.
Economics Textbook (Openstax)
Collection of linear & nonlinear (Kalman) Filters for economic models
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Collection of puzzles in macroeconomics
A package to simulate, filter, and estimate DSGE models with occasionally binding constraints
Computational economics in Python
Course materials for Zurich Initiative for Computational Economics (ZICE) 2014
Links Sent by Readers
Development economics datasets. Updated regularly.
Lecture series by Thomas J. Sargent and John Stachurski using Python computational tools.