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visibility: public
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# Economics

**repo:** [antontarasenko/awesome-economics](https://github.com/antontarasenko/awesome-economics)  
**category:** [[miscellaneous|Miscellaneous]]
**related:** [[data-science|Data Science]] · [[machine-learning|Machine Learning]]

---

# Awesome Economics [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

*A curated collection of links for economists. Part of the ["Awesome X" series](https://github.com/sindresorhus/awesome).*

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](contributing.md) or send new content to <antontarasenko@gmail.com>.

## Table of Contents

* [Studying](#studying)
* [Research](#research)
* [Discussions](#discussions)
* [Career](#career)
* [Economics on GitHub](#economics-on-github)
* [Literature by Field](#literature-by-field)
* [License](#license)

## Studying

### Courses

* [MIT OCW Economics](http://ocw.mit.edu/courses/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](https://www.edx.org/course/subject/economics-finance) - Introductory topics, few prerequisites.
* [Khan Academy: Economics](https://www.khanacademy.org/economics-finance-domain) - Elementary topics.

### Useful Materials

* [Academic Search](https://cse.google.com/cse/publicurl?cx=002720237717066476899:e55ib8o11ka) - Search across `.edu` and other educational domains. These materials are more reliable than the big Internet.
* [Foundational Equations of Economics](http://economics.stackexchange.com/questions/35/what-are-the-foundational-equations-of-economics) - These equations show principles behind "thinking like an economist". Graduate textbooks put these equiations in context.
* [IGM Economic Experts Panel](http://www.igmchicago.org/igm-economic-experts-panel) - Top economists reflect on policy-related issues. Some [answers](/@harrisonqian/awesome/wiki/miscellaneous/answers) contain useful details.
* [AEA Resources for Economists](http://rfe.org/) - A list of useful links maintained by the American Economic Association.

## Research

### Portals

* [RePEc](http://repec.org/) - Web services for economic researchers: bibliography, blog aggregator, new working [papers](/@harrisonqian/awesome/wiki/computer-science/papers), software.
* [Federal Reserve Bank of St. Louis: Web Services](https://research.stlouisfed.org/resources.html) - A list of helpful services.

### Articles and Working Papers

* [IDEAS RePEc](https://ideas.repec.org/) - The largest [database](/@harrisonqian/awesome/wiki/databases/database) of economics publications (2,000,000 items). Searching through [papers](/@harrisonqian/awesome/wiki/computer-science/papers) is easier with Google: ``site:ideas.repec.org <search term>``. Index sources mentioned below.
* [NBER](http://nber.org/papers.html) - Working [papers](/@harrisonqian/awesome/wiki/computer-science/papers) by major researchers. Many of these [papers](/@harrisonqian/awesome/wiki/computer-science/papers) get published in peer-reviewed journal.
* [SSRN Economics](http://ssrn.com/en/index.cfm/ern/) - Working [papers](/@harrisonqian/awesome/wiki/computer-science/papers), no journal publications.
* [Google Scholar](http://scholar.google.com/) - 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](https://research.stlouisfed.org/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](http://data.worldbank.org/) - International macro time series. Has data import plugins.
* [IMF Data](http://www.imf.org/en/Data) - The standard reference for macro data.
* [Quandl](https://www.quandl.com/) - Aggregate financial and economic data from multiple sources. Some data vendors sell their data via this service. Good [integration](/@harrisonqian/awesome/wiki/platforms/integration) with statistical software.
* [MEDevEcon](https://sites.google.com/site/medevecon/devecondata) - Data related to development economics.
* [Monetary Economics: Data Sources](https://sites.google.com/site/davesmant/various/data-sets-sources) - Overview of macro data sources.
* [OFFSTATS](http://www.offstats.auckland.ac.nz/) - Links to official data sources by country and subject.

Search

* [International Open Government Dataset Search](https://logd.tw.rpi.edu//node/9903) - Over 1,000,000 government [datasets](/@harrisonqian/awesome/wiki/miscellaneous/datasets). When works, this service looks [like this](http://web.archive.org/web/20140815054106/http://logd.tw.rpi.edu/node/9903). Otherwise, you'll see a 403 error.
* [Dataset Search Engine](https://cse.google.com/cse/publicurl?cx=002720237717066476899:v2wv26idk7m) - Google-based search over 200 data sources, including those mentioned here. You can use Google [search operators](http://www.googleguide.com/advanced_operators_reference.html) here.
* [StackExchange Open Data](http://opendata.stackexchange.com/) - If you haven't found the data you were looking for, you can ask it here.
* [Reddit /r/datasets](https://www.reddit.com/r/datasets) - One more place to request [datasets](/@harrisonqian/awesome/wiki/miscellaneous/datasets).

### Software

Writing

* [LaTeX](https://www.[latex](/@harrisonqian/awesome/wiki/miscellaneous/latex)-project.org/) - Economists write in [LaTeX](/@harrisonqian/awesome/wiki/miscellaneous/latex) because it handles mathematics and references better than Word or LibreOffice. If you write regularly, LaTeX is worth [learning](/@harrisonqian/awesome/wiki/programming-languages/learning).
  - [Beamer](https://www.ctan.org/pkg/beamer?lang=en) - A [LaTeX](/@harrisonqian/awesome/wiki/miscellaneous/latex) class for presentations.
  - [TikZ](http://www.texample.net/tikz/examples/) - An extension for drawing graphs. A [how-to](http://cremeronline.com/LaTeX/minimaltikz.pdf) and a [manual](http://www.texample.net/media/pgf/builds/pgfmanualCVS2012-11-04.pdf).
* [LyX](http://www.lyx.org/) - A free and simple editor for [LaTeX](/@harrisonqian/awesome/wiki/miscellaneous/latex).
* [Zotero](https://www.zotero.org/) - Bibliography management. Also install (a) Zotero browser plugin to import [papers](/@harrisonqian/awesome/wiki/computer-science/papers) from RePEc to your library; (b) Zotero-LyX plugin to cite literature easily.
* [Git](https://git-scm.com/downloads) - 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](http://rogerdudler.[github](/@harrisonqian/awesome/wiki/development-environment/github).io/git-guide/). Or use [GitHub Desktop](https://desktop.github.com/) if you like it simple.
* [Mendeley](https://www.mendeley.com) - Bibliography management. Support synchronization on multiple plateforms: Mac, [Windows](/@harrisonqian/awesome/wiki/platforms/windows), Ipad, Phone...

Computing

* [Stata](http://www.stata.com/) - An industry standard for statistical computations in economics. Free alternatives:
  - [IPython](http://ipython.org/) - A [Python](/@harrisonqian/awesome/wiki/programming-languages/python)-based environment. Econometric analysis is done with free packages: statsmodels, SciPy, NumPy, pandas.
  - [RStudio](https://www.rstudio.com/) - 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](http://www.mathworks.com/products/matlab/) - An industry standard for modeling and numerical optimization in economics. Free alternatives:
  - [Octave](https://www.gnu.org/software/octave/)
  - [Julia](https://julialang.org/) - High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.
* [Mathematica](https://www.wolfram.com/mathematica/) - Symbolic computations. Free alternative
  - [Sage](http://www.sagemath.org/)
* [Julia](https://julialang.org/) - An open source [scientific computing](/@harrisonqian/awesome/wiki/miscellaneous/scientific-computing) softerware.

Sharing

* [GitHub](https://github.com/) - A repository for code and data. Publishing research here is not a common practice, but it's more convenient that alternatives (university home page, DropBox, etc.).
  - [GitHub Pages](https://pages.[github](/@harrisonqian/awesome/wiki/development-environment/github).com/) - Simple static websites.
  - [GitHub LFS](https://git-lfs.[github](/@harrisonqian/awesome/wiki/development-environment/github).com/) - Large file storage.
* [IPython Notebooks](http://ipython.org/) - An interactive alternative to [LaTeX](/@harrisonqian/awesome/wiki/miscellaneous/latex) and Word. See examples how notebooks look like in [data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) and [the gallery](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks).

Reviews

* [Most common programs used by Economists](http://economics.stackexchange.com/questions/5853/most-common-programs-used-by-economists) - A community-managed list of common software.
* [Software for Researchers: New Data and Applications](https://antontarasenko.com/2016/01/14/software-for-research/) - Covers software mentioned above and some more.

### Useful Materials

* [How to efficiently manage a statistical analysis project?](http://stats.stackexchange.com/questions/2910/how-to-efficiently-manage-a-statistical-analysis-project)
* RePEc Rankings by citations
  - [Top Authors](https://ideas.repec.org/top/top.person.all.html)
  - [Economic Institutions](https://ideas.repec.org/top/top.inst.nbcites.html)
  - [Research Items](https://ideas.repec.org/top/top.item.nbcites.html)
  - [Software Items](http://logec.repec.org/scripts/itemstat.pf?type=redif-software)

## Discussions

* Blogs - The most popular form of self-expression among economists. The major blog aggregators:
  - [EconAcademics.org](http://econacademics.org/)
  - [Economist's View](http://economistsview.typepad.com/) - Mark Thoma
  - [Grasping Reality](http://delong.typepad.com/) - Brad DeLong
  - [Marginal Revolution](http://marginalrevolution.com/) - Tyler Cowen and Alex Tabarrok
  - [VOX CEPR](http://www.voxeu.org/) - Members of CEPR
* [Economics Blog Search](https://cse.google.com/cse/publicurl?cx=002720237717066476899:i_zfef5fawa) - A Google-based search service for aforementioned blogs.
* [AEA Blog Directory](https://www.aeaweb.org/rfe/showCat.php?cat_id=96) - The list of major economic blogs.
* [StackExchange Economics](http://economics.stackexchange.com/) - A Q&A website where you can ask and answer questions.
* Reddit - A popular news aggregator. Has many economics-related sections, for example:
  - [/r/GoodEconomics/](https://www.reddit.com/r/GoodEconomics/) - Selected pieces on economic issues.
  - [/r/EconPapers/](https://www.reddit.com/r/EconPapers/) - Discussing economic [papers](/@harrisonqian/awesome/wiki/computer-science/papers).
* Discord - A popular chat platform
  - [Academic Economics](https://discord.gg/n9V7hjNtPV) - A community with rooms to discuss economics and help members with exercises

## Career

### Undergraduate

* University rankings - May help in choosing a college.
  - [QS World University Rankings by Subject 2016 - Economics & Econometrics](http://www.topuniversities.com/university-rankings/university-subject-rankings/2016/economics-econometrics#sorting=rank+region=+country=+faculty=+stars=false+search=)
  - [Academic Ranking of World Universities in Economics / Business](http://www.shanghairanking.com/SubjectEcoBus2015.html)

### Graduate

* [American Economic Association: Graduate Training in Economics](https://www.aeaweb.org/gradstudents/index.php) - Overview of the programs, requirements, and advices to those considering a PhD program in economics.

### Faculty

* [Job Openings for Economists](https://www.aeaweb.org/joe/) - The job board by the American Economic Association.
* [Econ Jobs Postings](https://econjobmarket.org/positions) - List of academic job openings.
* [Economics Job Market Rumors](http://www.econjobrumors.com/wiki.php) - List of job openings for economists. Informal.

## Economics on GitHub

_Sorted alphabetically_

### Economists

* [davidrpugh](https://github.com/davidrpugh) - Institute for New Economic Thinking, Oxford Martin School; Oxford Mathematical Institute, Oxford, UK. 
* [gboehl](https://github.com/gboehl) - Universität Bonn, Bonn, Germany.
* [hmgaudecker](https://github.com/hmgaudecker) - Universität Bonn, Bonn, Germany.
* [jesusfv](https://github.com/jesusfv)
* [jstac](https://github.com/jstac) - Australian National University, Canberra, Australia.
* [mwt](https://github.com/mwt) - Northwestern University, USA
* [nathanlane](https://github.com/nathanlane) - Institute for International Economic Studies, Stockholm, Sweden.
* [nealbob](https://github.com/nealbob) - Australian National University, Canberra, Australia.
* [robertdkirkby](https://github.com/robertdkirkby)
* [trickvi](https://github.com/trickvi) - Hagstofa Íslands, Iceland.

### Projects

* [EconForge](https://github.com/EconForge) - Team around Pablo Winant providing packages to solve economic models.
* [economics-book](https://github.com/philschatz/economics-book) - Economics Textbook (Openstax).
* [econpizza](https://github.com/gboehl/econpizza) - Toolbox to solve and simulate nonlinear models with heterogeneous agents.
* [fecon235](https://github.com/rsvp/fecon235) - Computational tools for financial economics, [Python](/@harrisonqian/awesome/wiki/programming-languages/python) code base and [tutorials](/@harrisonqian/awesome/wiki/computer-science/tutorials) using [Jupyter](/@harrisonqian/awesome/wiki/miscellaneous/jupyter) notebooks, includes data retrieval, graphics, and optimization.
* [macro_puzzles](https://github.com/gboehl/macro_puzzles) - A list of puzzles in macroeconomics.
* [pydsge](https://github.com/gboehl/pydsge) - Tools to solve, filter, and estimate DSGE models with occasionally binding constraints.
* [pyeconomics](https://github.com/davidrpugh/pyeconomics) - Computational economics in [Python](/@harrisonqian/awesome/wiki/programming-languages/python).
* [QuantEcon](https://github.com/QuantEcon/) - A library for quantitative economics.
* [quantecon_nyu_2016](https://github.com/jstac/quantecon_nyu_2016) - Topics in Computational Economics
* [VFI Toolkit](https://github.com/vfitoolkit) - Matlab toolkit for Value Function Iteration on GPU.
* [zice-2014](https://github.com/davidrpugh/zice-2014) - Course materials for Zurich Initiative for Computational Economics (ZICE) 2014.

## Links Sent by Readers

* [Deveconodata Blogspot](http://devecondata.blogspot.com/) - Development economics [datasets](/@harrisonqian/awesome/wiki/miscellaneous/datasets). Updated regularly.
* [Economics Games](http://economics-games.com/) - Free online classroom games for teaching economics.
* [Quantitative Economics](https://lectures.quantecon.org/py/index.html) - Lecture series by Thomas J. Sargent and John Stachurski using [Python](/@harrisonqian/awesome/wiki/programming-languages/python) computational tools.
* [Top 100 Economics Blogs](https://www.intelligenteconomist.com/top-economics-blogs-2016/) - Links to popular economics blogs, with brief descriptions.

## License

[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)
