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--- visibility: public --- # 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 [](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 [](https://creativecommons.org/publicdomain/zero/1.0/)