Courses & Tutorials

Awesome Economics – Massive Collection of Resources

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A curated collection of links for economists.

Table of Contents



  • MIT OCW Economics – Over 100 courses covering all major fields of economics. Courses include prerequisites, recommended textbooks, lecture slides, and assignments. Undergraduate and graduate programs.
  • edX Economics – Introductory topics, few prerequisites.
  • Khan Academy: Economics – Elementary topics.

Useful Materials



Articles and Working Papers

  • IDEAS RePEc – The largest database of economics publications (2,000,000 items). Searching through papers is easier with Google: <search term>. Index sources mentioned below.
  • NBER – Working papers by major researchers. Many of these papers get published in peer-reviewed journal.
  • SSRN Economics – Working papers, no journal publications.
  • Google Scholar – Searching academic literature in general. Features author pages and citation counters. If you look for economic writings only, IDEAS would be more powerful.



  • FRED2 – 380,000 (macro) time series from 80 sources. Supports plugins for importing data into Excel, Stata, R, and others. Has a mobile app.
  • World Bank Data – International macro time series. Has data import plugins.
  • IMF Data – The standard reference for macro data.
  • Quandl – Aggregate financial and economic data from multiple sources. Some data vendors sell their data via this service. Good integration with statistical software.
  • MEDevEcon – Data related to development economics.
  • Monetary Economics: Data Sources – Overview of macro data sources.
  • OFFSTATS – Links to official data sources by country and subject.




  • LaTeX – Economists write in LaTeX because it handles mathematics and references better than Word or LibreOffice. If you write regularly, LaTeX is worth learning.
    • Beamer – A LaTeX class for presentations.
    • TikZ – An extension for drawing graphs. A how-to and a manual.
  • LyX – A free and simple editor for LaTeX.
  • Zotero – Bibliography management. Also install (a) Zotero browser plugin to import papers from RePEc to your library; (b) Zotero-LyX plugin to cite literature easily.
  • Git – A version control system. Useful if you want to revert changes done months ago or collaborate with other authors. DropBox also has version control, but Git is more explicit. A short intro. Or use GitHub Desktop if you like it simple.


  • Stata – An industry standard for statistical computations in economics. Free alternatives:
    • IPython – A Python-based environment. Econometric analysis is done with free packages: statsmodels, SciPy, NumPy, pandas.
    • RStudio – An R-based environment. R is the standard language among statisticians, so the R repositories often contain specialized libraries not available in other languages.
  • Matlab – An industry standard for modeling and numerical optimization in economics. Free alternatives:
    • Octave
    • Julia – High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.
  • Mathematica – Symbolic computations. Free alternative



Useful Materials






Economics on GitHub

Sorted alphabetically


  • davidrpugh – Institute for New Economic Thinking, Oxford Martin School; Oxford Mathematical Institute, Oxford, UK.
  • gboehl – Goethe University Frankfurt, Frankfurt Germany.
  • hmgaudecker – Universität Bonn, Bonn, Germany.
  • jesusfv
  • jstac – Australian National University, Canberra, Australia.
  • mwt – Northwestern University, USA
  • nathanlane – Institute for International Economic Studies, Stockholm, Sweden.
  • nealbob – Australian National University, Canberra, Australia.
  • robertdkirkby
  • trickvi – Hagstofa Íslands, Iceland.


  • EconForge – Team around Pablo Winant providing packages to solve economic models.
  • economics-book – Economics Textbook (Openstax).
  • econsieve – Filter for large-scale nonlinear models.
  • fecon235 – Computational tools for financial economics, Python code base and tutorials using Jupyter notebooks, includes data retrieval, graphics, and optimization.
  • macro_puzzles – A list of puzzles in macroeconomics.
  • pydsge – Tools to solve, filter, and estimate DSGE models with occasionally binding constraints.
  • pyeconomics – Computational economics in Python.
  • QuantEcon – A library for quantitative economics.
  • quantecon_nyu_2016 – Topics in Computational Economics
  • VFI Toolkit – Matlab toolkit for Value Function Iteration on GPU.
  • zice-2014 – Course materials for Zurich Initiative for Computational Economics (ZICE) 2014.

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