377 lines
17 KiB
HTML
377 lines
17 KiB
HTML
<h1 id="awesome-economics-awesome">Awesome Economics <a
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href="https://github.com/sindresorhus/awesome"><img
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src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg"
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alt="Awesome" /></a></h1>
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<p><em>A curated collection of links for economists. Part of the <a
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href="https://github.com/sindresorhus/awesome">“Awesome X”
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series</a>.</em></p>
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<p>The list is periodically updated with new links. Click “Watch” in the
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right top corner to follow.</p>
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<p>Your contributions are welcomed. Add links to “Links Sent by Readers”
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<a href="contributing.md">by yourself</a> or send new content to <a
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href="mailto:antontarasenko@gmail.com"
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class="email">antontarasenko@gmail.com</a>.</p>
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<h2 id="table-of-contents">Table of Contents</h2>
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<ul>
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<li><a href="#studying">Studying</a></li>
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<li><a href="#research">Research</a></li>
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<li><a href="#discussions">Discussions</a></li>
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<li><a href="#career">Career</a></li>
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<li><a href="#economics-on-github">Economics on GitHub</a></li>
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<li><a href="#literature-by-field">Literature by Field</a></li>
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<li><a href="#license">License</a></li>
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</ul>
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<h2 id="studying">Studying</h2>
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<h3 id="courses">Courses</h3>
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<ul>
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<li><a href="http://ocw.mit.edu/courses/economics/">MIT OCW
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Economics</a> - Over 100 courses covering all major fields of economics.
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Courses include prerequisites, recommended textbooks, lecture slides,
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and assignments. Undergraduate and graduate programs.</li>
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<li><a href="https://www.edx.org/course/subject/economics-finance">edX
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Economics</a> - Introductory topics, few prerequisites.</li>
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<li><a href="https://www.khanacademy.org/economics-finance-domain">Khan
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Academy: Economics</a> - Elementary topics.</li>
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</ul>
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<h3 id="useful-materials">Useful Materials</h3>
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<ul>
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<li><a
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href="https://cse.google.com/cse/publicurl?cx=002720237717066476899:e55ib8o11ka">Academic
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Search</a> - Search across <code>.edu</code> and other educational
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domains. These materials are more reliable than the big Internet.</li>
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<li><a
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href="http://economics.stackexchange.com/questions/35/what-are-the-foundational-equations-of-economics">Foundational
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Equations of Economics</a> - These equations show principles behind
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“thinking like an economist”. Graduate textbooks put these equiations in
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context.</li>
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<li><a href="http://www.igmchicago.org/igm-economic-experts-panel">IGM
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Economic Experts Panel</a> - Top economists reflect on policy-related
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issues. Some answers contain useful details.</li>
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<li><a href="http://rfe.org/">AEA Resources for Economists</a> - A list
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of useful links maintained by the American Economic Association.</li>
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</ul>
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<h2 id="research">Research</h2>
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<h3 id="portals">Portals</h3>
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<ul>
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<li><a href="http://repec.org/">RePEc</a> - Web services for economic
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researchers: bibliography, blog aggregator, new working papers,
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software.</li>
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<li><a href="https://research.stlouisfed.org/resources.html">Federal
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Reserve Bank of St. Louis: Web Services</a> - A list of helpful
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services.</li>
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</ul>
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<h3 id="articles-and-working-papers">Articles and Working Papers</h3>
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<ul>
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<li><a href="https://ideas.repec.org/">IDEAS RePEc</a> - The largest
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database of economics publications (2,000,000 items). Searching through
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papers is easier with Google:
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<code>site:ideas.repec.org <search term></code>. Index sources
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mentioned below.</li>
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<li><a href="http://nber.org/papers.html">NBER</a> - Working papers by
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major researchers. Many of these papers get published in peer-reviewed
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journal.</li>
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<li><a href="http://ssrn.com/en/index.cfm/ern/">SSRN Economics</a> -
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Working papers, no journal publications.</li>
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<li><a href="http://scholar.google.com/">Google Scholar</a> - Searching
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academic literature in general. Features author pages and citation
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counters. If you look for economic writings only, IDEAS would be more
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powerful.</li>
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</ul>
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<h3 id="data">Data</h3>
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<p>Datasets</p>
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<ul>
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<li><a href="https://research.stlouisfed.org/fred2/">FRED2</a> - 380,000
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(macro) time series from 80 sources. Supports plugins for importing data
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into Excel, Stata, R, and others. Has a mobile app.</li>
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<li><a href="http://data.worldbank.org/">World Bank Data</a> -
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International macro time series. Has data import plugins.</li>
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<li><a href="http://www.imf.org/en/Data">IMF Data</a> - The standard
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reference for macro data.</li>
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<li><a href="https://www.quandl.com/">Quandl</a> - Aggregate financial
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and economic data from multiple sources. Some data vendors sell their
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data via this service. Good integration with statistical software.</li>
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<li><a
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href="https://sites.google.com/site/medevecon/devecondata">MEDevEcon</a>
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- Data related to development economics.</li>
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<li><a
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href="https://sites.google.com/site/davesmant/various/data-sets-sources">Monetary
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Economics: Data Sources</a> - Overview of macro data sources.</li>
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<li><a href="http://www.offstats.auckland.ac.nz/">OFFSTATS</a> - Links
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to official data sources by country and subject.</li>
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</ul>
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<p>Search</p>
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<ul>
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<li><a href="https://logd.tw.rpi.edu//node/9903">International Open
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Government Dataset Search</a> - Over 1,000,000 government datasets. When
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works, this service looks <a
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href="http://web.archive.org/web/20140815054106/http://logd.tw.rpi.edu/node/9903">like
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this</a>. Otherwise, you’ll see a 403 error.</li>
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<li><a
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href="https://cse.google.com/cse/publicurl?cx=002720237717066476899:v2wv26idk7m">Dataset
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Search Engine</a> - Google-based search over 200 data sources, including
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those mentioned here. You can use Google <a
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href="http://www.googleguide.com/advanced_operators_reference.html">search
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operators</a> here.</li>
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<li><a href="http://opendata.stackexchange.com/">StackExchange Open
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Data</a> - If you haven’t found the data you were looking for, you can
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ask it here.</li>
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<li><a href="https://www.reddit.com/r/datasets">Reddit /r/datasets</a> -
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One more place to request datasets.</li>
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</ul>
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<h3 id="software">Software</h3>
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<p>Writing</p>
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<ul>
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<li><a href="https://www.latex-project.org/">LaTeX</a> - Economists
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write in LaTeX because it handles mathematics and references better than
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Word or LibreOffice. If you write regularly, LaTeX is worth learning.
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<ul>
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<li><a href="https://www.ctan.org/pkg/beamer?lang=en">Beamer</a> - A
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LaTeX class for presentations.</li>
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<li><a href="http://www.texample.net/tikz/examples/">TikZ</a> - An
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extension for drawing graphs. A <a
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href="http://cremeronline.com/LaTeX/minimaltikz.pdf">how-to</a> and a <a
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href="http://www.texample.net/media/pgf/builds/pgfmanualCVS2012-11-04.pdf">manual</a>.</li>
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</ul></li>
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<li><a href="http://www.lyx.org/">LyX</a> - A free and simple editor for
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LaTeX.</li>
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<li><a href="https://www.zotero.org/">Zotero</a> - Bibliography
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management. Also install (a) Zotero browser plugin to import papers from
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RePEc to your library; (b) Zotero-LyX plugin to cite literature
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easily.</li>
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<li><a href="https://git-scm.com/downloads">Git</a> - A version control
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system. Useful if you want to revert changes done months ago or
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collaborate with other authors. DropBox also has version control, but
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Git is more explicit. A <a
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href="http://rogerdudler.github.io/git-guide/">short intro</a>. Or use
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<a href="https://desktop.github.com/">GitHub Desktop</a> if you like it
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simple.</li>
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<li><a href="https://www.mendeley.com">Mendeley</a> - Bibliography
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management. Support synchronization on multiple plateforms: Mac,
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Windows, Ipad, Phone…</li>
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</ul>
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<p>Computing</p>
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<ul>
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<li><a href="http://www.stata.com/">Stata</a> - An industry standard for
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statistical computations in economics. Free alternatives:
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<ul>
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<li><a href="http://ipython.org/">IPython</a> - A Python-based
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environment. Econometric analysis is done with free packages:
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statsmodels, SciPy, NumPy, pandas.</li>
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<li><a href="https://www.rstudio.com/">RStudio</a> - An R-based
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environment. R is the standard language among statisticians, so the R
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repositories often contain specialized libraries not available in other
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languages.</li>
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</ul></li>
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<li><a href="http://www.mathworks.com/products/matlab/">Matlab</a> - An
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industry standard for modeling and numerical optimization in economics.
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Free alternatives:
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<ul>
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<li><a href="https://www.gnu.org/software/octave/">Octave</a></li>
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<li><a href="https://julialang.org/">Julia</a> - High-level dynamic
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programming language designed to address the needs of high-performance
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numerical analysis and computational science.</li>
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</ul></li>
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<li><a href="https://www.wolfram.com/mathematica/">Mathematica</a> -
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Symbolic computations. Free alternative
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<ul>
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<li><a href="http://www.sagemath.org/">Sage</a></li>
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</ul></li>
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<li><a href="https://julialang.org/">Julia</a> - An open source
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scientific computing softerware.</li>
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</ul>
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<p>Sharing</p>
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<ul>
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<li><a href="https://github.com/">GitHub</a> - A repository for code and
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data. Publishing research here is not a common practice, but it’s more
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convenient that alternatives (university home page, DropBox, etc.).
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<ul>
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<li><a href="https://pages.github.com/">GitHub Pages</a> - Simple static
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websites.</li>
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<li><a href="https://git-lfs.github.com/">GitHub LFS</a> - Large file
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storage.</li>
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</ul></li>
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<li><a href="http://ipython.org/">IPython Notebooks</a> - An interactive
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alternative to LaTeX and Word. See examples how notebooks look like in
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<a
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href="https://github.com/donnemartin/data-science-ipython-notebooks">data-science-ipython-notebooks</a>
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and <a
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href="https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks">the
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gallery</a>.</li>
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</ul>
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<p>Reviews</p>
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<ul>
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<li><a
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href="http://economics.stackexchange.com/questions/5853/most-common-programs-used-by-economists">Most
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common programs used by Economists</a> - A community-managed list of
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common software.</li>
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<li><a
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href="https://antontarasenko.com/2016/01/14/software-for-research/">Software
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for Researchers: New Data and Applications</a> - Covers software
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mentioned above and some more.</li>
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</ul>
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<h3 id="useful-materials-1">Useful Materials</h3>
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<ul>
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<li><a
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href="http://stats.stackexchange.com/questions/2910/how-to-efficiently-manage-a-statistical-analysis-project">How
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to efficiently manage a statistical analysis project?</a></li>
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<li>RePEc Rankings by citations
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<ul>
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<li><a href="https://ideas.repec.org/top/top.person.all.html">Top
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Authors</a></li>
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<li><a href="https://ideas.repec.org/top/top.inst.nbcites.html">Economic
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Institutions</a></li>
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<li><a href="https://ideas.repec.org/top/top.item.nbcites.html">Research
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Items</a></li>
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<li><a
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href="http://logec.repec.org/scripts/itemstat.pf?type=redif-software">Software
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Items</a></li>
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</ul></li>
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</ul>
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<h2 id="discussions">Discussions</h2>
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<ul>
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<li>Blogs - The most popular form of self-expression among economists.
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The major blog aggregators:
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<ul>
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<li><a href="http://econacademics.org/">EconAcademics.org</a></li>
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<li><a href="http://economistsview.typepad.com/">Economist’s View</a> -
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Mark Thoma</li>
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<li><a href="http://delong.typepad.com/">Grasping Reality</a> - Brad
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DeLong</li>
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<li><a href="http://marginalrevolution.com/">Marginal Revolution</a> -
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Tyler Cowen and Alex Tabarrok</li>
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<li><a href="http://www.voxeu.org/">VOX CEPR</a> - Members of CEPR</li>
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</ul></li>
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<li><a
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href="https://cse.google.com/cse/publicurl?cx=002720237717066476899:i_zfef5fawa">Economics
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Blog Search</a> - A Google-based search service for aforementioned
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blogs.</li>
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<li><a href="https://www.aeaweb.org/rfe/showCat.php?cat_id=96">AEA Blog
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Directory</a> - The list of major economic blogs.</li>
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<li><a href="http://economics.stackexchange.com/">StackExchange
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Economics</a> - A Q&A website where you can ask and answer
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questions.</li>
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<li>Reddit - A popular news aggregator. Has many economics-related
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sections, for example:
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<ul>
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<li><a
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href="https://www.reddit.com/r/GoodEconomics/">/r/GoodEconomics/</a> -
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Selected pieces on economic issues.</li>
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<li><a href="https://www.reddit.com/r/EconPapers/">/r/EconPapers/</a> -
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Discussing economic papers.</li>
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</ul></li>
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<li>Discord - A popular chat platform
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<ul>
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<li><a href="https://discord.gg/n9V7hjNtPV">Academic Economics</a> - A
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community with rooms to discuss economics and help members with
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exercises</li>
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</ul></li>
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</ul>
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<h2 id="career">Career</h2>
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<h3 id="undergraduate">Undergraduate</h3>
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<ul>
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<li>University rankings - May help in choosing a college.
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<ul>
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<li><a
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href="http://www.topuniversities.com/university-rankings/university-subject-rankings/2016/economics-econometrics#sorting=rank+region=+country=+faculty=+stars=false+search=">QS
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World University Rankings by Subject 2016 - Economics &
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Econometrics</a></li>
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<li><a
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href="http://www.shanghairanking.com/SubjectEcoBus2015.html">Academic
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Ranking of World Universities in Economics / Business</a></li>
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</ul></li>
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</ul>
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<h3 id="graduate">Graduate</h3>
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<ul>
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<li><a href="https://www.aeaweb.org/gradstudents/index.php">American
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Economic Association: Graduate Training in Economics</a> - Overview of
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the programs, requirements, and advices to those considering a PhD
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program in economics.</li>
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</ul>
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<h3 id="faculty">Faculty</h3>
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<ul>
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<li><a href="https://www.aeaweb.org/joe/">Job Openings for
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Economists</a> - The job board by the American Economic
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Association.</li>
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<li><a href="https://econjobmarket.org/positions">Econ Jobs Postings</a>
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- List of academic job openings.</li>
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<li><a href="http://www.econjobrumors.com/wiki.php">Economics Job Market
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Rumors</a> - List of job openings for economists. Informal.</li>
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</ul>
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<h2 id="economics-on-github">Economics on GitHub</h2>
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<p><em>Sorted alphabetically</em></p>
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<h3 id="economists">Economists</h3>
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<ul>
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<li><a href="https://github.com/davidrpugh">davidrpugh</a> - Institute
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for New Economic Thinking, Oxford Martin School; Oxford Mathematical
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Institute, Oxford, UK.</li>
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<li><a href="https://github.com/gboehl">gboehl</a> - Universität Bonn,
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Bonn, Germany.</li>
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<li><a href="https://github.com/hmgaudecker">hmgaudecker</a> -
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Universität Bonn, Bonn, Germany.</li>
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<li><a href="https://github.com/jesusfv">jesusfv</a></li>
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<li><a href="https://github.com/jstac">jstac</a> - Australian National
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University, Canberra, Australia.</li>
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<li><a href="https://github.com/mwt">mwt</a> - Northwestern University,
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USA</li>
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<li><a href="https://github.com/nathanlane">nathanlane</a> - Institute
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for International Economic Studies, Stockholm, Sweden.</li>
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<li><a href="https://github.com/nealbob">nealbob</a> - Australian
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National University, Canberra, Australia.</li>
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<li><a href="https://github.com/robertdkirkby">robertdkirkby</a></li>
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<li><a href="https://github.com/trickvi">trickvi</a> - Hagstofa Íslands,
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Iceland.</li>
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</ul>
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<h3 id="projects">Projects</h3>
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<ul>
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<li><a href="https://github.com/EconForge">EconForge</a> - Team around
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Pablo Winant providing packages to solve economic models.</li>
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<li><a
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href="https://github.com/philschatz/economics-book">economics-book</a> -
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Economics Textbook (Openstax).</li>
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<li><a href="https://github.com/gboehl/econpizza">econpizza</a> -
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Toolbox to solve and simulate nonlinear models with heterogeneous
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agents.</li>
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<li><a href="https://github.com/rsvp/fecon235">fecon235</a> -
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Computational tools for financial economics, Python code base and
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tutorials using Jupyter notebooks, includes data retrieval, graphics,
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and optimization.</li>
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<li><a href="https://github.com/gboehl/macro_puzzles">macro_puzzles</a>
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- A list of puzzles in macroeconomics.</li>
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<li><a href="https://github.com/gboehl/pydsge">pydsge</a> - Tools to
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solve, filter, and estimate DSGE models with occasionally binding
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constraints.</li>
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<li><a href="https://github.com/davidrpugh/pyeconomics">pyeconomics</a>
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- Computational economics in Python.</li>
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<li><a href="https://github.com/QuantEcon/">QuantEcon</a> - A library
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for quantitative economics.</li>
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<li><a
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href="https://github.com/jstac/quantecon_nyu_2016">quantecon_nyu_2016</a>
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- Topics in Computational Economics</li>
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<li><a href="https://github.com/vfitoolkit">VFI Toolkit</a> - Matlab
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toolkit for Value Function Iteration on GPU.</li>
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<li><a href="https://github.com/davidrpugh/zice-2014">zice-2014</a> -
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Course materials for Zurich Initiative for Computational Economics
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(ZICE) 2014.</li>
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</ul>
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<h2 id="links-sent-by-readers">Links Sent by Readers</h2>
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<ul>
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<li><a href="http://devecondata.blogspot.com/">Deveconodata Blogspot</a>
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- Development economics datasets. Updated regularly.</li>
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<li><a href="http://economics-games.com/">Economics Games</a> - Free
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online classroom games for teaching economics.</li>
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<li><a href="https://lectures.quantecon.org/py/index.html">Quantitative
|
||
Economics</a> - Lecture series by Thomas J. Sargent and John Stachurski
|
||
using Python computational tools.</li>
|
||
<li><a
|
||
href="https://www.intelligenteconomist.com/top-economics-blogs-2016/">Top
|
||
100 Economics Blogs</a> - Links to popular economics blogs, with brief
|
||
descriptions.</li>
|
||
</ul>
|
||
<h2 id="license">License</h2>
|
||
<p><a href="https://creativecommons.org/publicdomain/zero/1.0/"><img
|
||
src="http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg"
|
||
alt="CC0" /></a></p>
|
||
<p><a
|
||
href="https://github.com/antontarasenko/awesome-economics">economics.md
|
||
Github</a></p>
|