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Economics

A curated collection of links for economists

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Contents

Awesome Economics Awesome

A curated collection of links for economists. Part of the "Awesome X" series.

The list is periodically updated with new links. Click "Watch" in the right top corner to follow.

Your contributions are welcomed. Add links to "Links Sent by Readers" by yourself or send new content to antontarasenko@gmail.com.

Table of Contents

Studying

Courses

  • 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

Research

Portals

Articles and Working Papers

  • IDEAS RePEc - 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.
  • 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.

Data

Datasets

  • 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.

Search

Software

Writing

  • LaTeX - Economists write in LaTeX because it handles mathematics and references better than Word or LibreOffice. If you write regularly, LaTeX is worth learning.
  • 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.

Computing

  • Stata - An industry standard for statistical computations in economics. Free alternatives:
    • IPython - A Python-based environment. Econometric analysis requires SciPy, NumPy, statsmodels, and some other libraries installed. Consider installing Anaconda, which contains much of the needed stuff.
    • RStudio - A R-based environment. Many statistical R libraries are not available in other languages, so it's a pretty rich platform.
  • Matlab - An industry standard for modeling and numerical optimization in economics. Free alternatives:
  • Mathematica - Symbolic computations. Free alternative

Sharing

Reviews

Useful Materials

Discussions

Career

Undergraduate

Graduate

Faculty

Economics on GitHub

Sorted alphabetically

Economists

  • 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.
  • nathanlane - Institute for International Economic Studies, Stockholm, Sweden.
  • nealbob - Australian National University, Canberra, Australia.
  • robertdkirkby
  • trickvi - Hagstofa Íslands, Iceland.

Projects

  • EconForge - Team around Pablo Winant providing packages to solve economic models.
  • economics-book - Economics Textbook (Openstax).
  • fecon235 - Computational tools for financial economics, Python code base and tutorials using Jupyter notebooks, includes data retrieval, graphics, and optimization.
  • 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.

Links Sent by Readers

License

CC0

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