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<!doctype html>
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<html lang="en">
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<head>
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<script src="https://use.fontawesome.com/baff6f55f5.js"></script>
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<meta charset="utf-8">
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<meta http-equiv="X-UA-Compatible" content="chrome=1">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<title>Tyler Ransom by tyleransom</title>
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<link rel="stylesheet" href="stylesheets/github-light.css">
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<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
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<h1>Tyler Ransom</h1>
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<p>Assistant Professor of Economics<br>University of Oklahoma</p>
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<p>Research Affiliate<br><a href="http://legacy.iza.org/en/webcontent/personnel/photos/index_html?key=24155">Institute for the Study of Labor (IZA)</a></p>
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<h3><p class="view"><a href="https://tyleransom.github.io/">Home</a></p></h3>
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<h3><p class="view"><a href="https://tyleransom.github.io/research.html">Research</a></p></h3>
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<h3><p class="view"><a href="https://tyleransom.github.io/research/CV.pdf">CV</a></p></h3>
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<h3><p class="view"><a href="https://tyleransom.github.io/code.html">Code</a></p></h3>
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<h3><p class="view"><a href="https://tyleransom.github.io/teaching.html">Teaching</a></p></h3>
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<h3><p class="view"><a href="https://tyleransom.github.io/personal.html">Personal</a></p></h3>
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<h3><a href="https://tyleransom.github.io/">Home</a></h3>
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<h3><a href="https://tyleransom.github.io/research.html">Research</a></h3>
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<h3><a href="https://tyleransom.github.io/research/CV.pdf">CV</a></h3>
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<h3><a href="https://tyleransom.github.io/code.html">Code</a></h3>
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<h3><a href="https://tyleransom.github.io/teaching.html">Teaching</a></h3>
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<h3><a href="https://tyleransom.github.io/personal.html">Personal</a></h3>
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<p class="view"><b>Social</b><br>
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<a href="mailto:[email protected]" class="author-social" target="_blank"><i class="fa fa-fw fa-envelope-square"></i> Email</a><br>
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<a href="https://scholar.google.com/citations?user=eohlTTcAAAAJ&hl=en" target="_blank"><i class="ai ai-fw ai-google-scholar-square"></i> Scholar</a><br>
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<li><a href="https://tyleransom.github.io/research/JuliaPresentation.pdf">Introduction to Julia for economists</a>: Slides from a short presentation that introduces <a href="http://julialang.org/">Julia</a>.</li>
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<li><a href="http://quantecon.org/notebooks.html">QuantEcon's notebook gallery</a>, which includes a few of my notebooks introducing data analysis and optimization in <a href="http://julialang.org/">Julia</a>.</li>
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<li><a href="https://github.com/tyleransom/Julia">My Github repository</a>, which introduces basic econometric models in <a href="http://julialang.org/">Julia</a>.</li>
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<li><a href="https://github.com/tyleransom/EMalgorithmExample"><tt>EM algorithm example</tt></a>: Code to generate data and estimate simple versions of the EM algorithm for estimation of models with discrete type-specific unobserved heterogeneity.</li>
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<li><a href="https://github.com/tyleransom/EMalgorithmExample"><code>EM algorithm example</code></a>: Code to generate data and estimate simple versions of the EM algorithm for estimation of models with discrete type-specific unobserved heterogeneity.</li>
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</ul>
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<h3>Matlab</h3>
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<ul>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/41150-summarize"><tt>summarize.m</tt></a>: Mimics Stata's <tt>summarize</tt> command.</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47927-normalmle-m"><tt>normalMLE.m</tt></a>: Estimates normal linear regression with heteroskedastic errors by maximum likelihood.</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47284-apply-restrictions"><tt>applyRestr.m</tt></a>: Allows for easy parameter restrictions in optimization problems (co-writen with <a href="http://bschool.pepperdine.edu/about/people/faculty/jared-ashworth/">Jared Ashworth</a>).</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47389-conditional-logit"><tt>clogit.m</tt></a>: Estimates conditional logit regression by maximum likelihood (co-writen with <a href="http://bschool.pepperdine.edu/about/people/faculty/jared-ashworth/">Jared Ashworth</a>).</li>
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<li><a href="https://www.mathworks.com/matlabcentral/fileexchange/68256-ordered-logit"><tt>ologit.m</tt></a>: Estimates the ordered logit model by maximum likelihood.</li>
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<li><a href="https://www.mathworks.com/matlabcentral/fileexchange/68255-emalgorithmexample"><tt>EM algorithm example</tt></a>: Code to generate data and estimate simple versions of the EM algorithm for estimation of models with discrete type-specific unobserved heterogeneity.</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/41150-summarize"><code>summarize.m</code></a>: Mimics Stata's <code>summarize</code> command.</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47927-normalmle-m"><code>normalMLE.m</code></a>: Estimates normal linear regression with heteroskedastic errors by maximum likelihood.</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47284-apply-restrictions"><code>applyRestr.m</code></a>: Allows for easy parameter restrictions in optimization problems (co-writen with <a href="http://bschool.pepperdine.edu/about/people/faculty/jared-ashworth/">Jared Ashworth</a>).</li>
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<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47389-conditional-logit"><code>clogit.m</code></a>: Estimates conditional logit regression by maximum likelihood (co-writen with <a href="http://bschool.pepperdine.edu/about/people/faculty/jared-ashworth/">Jared Ashworth</a>).</li>
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<li><a href="https://www.mathworks.com/matlabcentral/fileexchange/68256-ordered-logit"><code>ologit.m</code></a>: Estimates the ordered logit model by maximum likelihood.</li>
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<li><a href="https://www.mathworks.com/matlabcentral/fileexchange/68255-emalgorithmexample"><code>EM algorithm example</code></a>: Code to generate data and estimate simple versions of the EM algorithm for estimation of models with discrete type-specific unobserved heterogeneity.</li>
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</ul>
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<h3>LaTeX</h3>
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