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    <title>research tools · Julian Hinz</title>
    <link>https://julianhinz.com/topics/research-tools/</link>
    <description>research tools by Julian Hinz.</description>
    <language>en</language>
    <managingEditor>mail@julianhinz.com (Julian Hinz)</managingEditor>
    <lastBuildDate>Wed, 20 Mar 2019 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://julianhinz.com/topics/research-tools/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>glmhdfe</title>
      <link>https://julianhinz.com/data-code/glmhdfe/</link>
      <pubDate>Wed, 20 Mar 2019 00:00:00 +0000</pubDate>
      <guid>https://julianhinz.com/data-code/glmhdfe/</guid>
      <dc:creator>Julian Hinz</dc:creator>
      <dc:creator>Joschka Wanner</dc:creator>
      <dc:creator>Alexander Hudlet</dc:creator>
      <category>econometrics</category>
      <category>research tools</category>
      <description>&lt;p&gt;The &lt;a href=&#34;https://github.com/julianhinz/R_glmhdfe&#34;&gt;R package glmhdfe&lt;/a&gt; implements a fast estimation procedure of generalized linear models with high dimensional fixed effects. The package makes use of a convenient property of &lt;em&gt;some&lt;/em&gt; combinations of error term distributions and link functions, where the fixed effects have — conditional on all other estimated parameters — an explicit solution.&lt;/p&gt;
&lt;p&gt;Install from GitHub via the &lt;a href=&#34;https://remotes.r-lib.org&#34;&gt;remotes&lt;/a&gt; package:&lt;/p&gt;
&lt;div class=&#34;shadow&#34;&gt;
    
    &lt;div class=&#34;highlight&#34;&gt;&lt;pre class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-R&#34; data-lang=&#34;R&#34;&gt;
&lt;span class=&#34;nf&#34;&gt;install.packages&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;&amp;#34;remotes&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;span class=&#34;n&#34;&gt;remotes&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;::&lt;/span&gt;&lt;span class=&#34;nf&#34;&gt;install_github&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;&amp;#34;julianhinz/R_glmhdfe&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;p&gt;For more details and usage examples check out the &lt;a href=&#34;https://github.com/julianhinz/R_glmhdfe&#34;&gt;R_glmhdfe&lt;/a&gt; GitHub repository and the &lt;a href=&#34;https://julianhinz.com/research/glmhdfe_technical_note/glmhdfe_technical_note.pdf&#34;&gt;technical note&lt;/a&gt;.
&lt;br&gt;&lt;/p&gt;
</description>
    </item>
    <item>
      <title>gravity.distances</title>
      <link>https://julianhinz.com/data-code/gravity.distances/</link>
      <pubDate>Wed, 01 Aug 2018 00:00:00 +0000</pubDate>
      <guid>https://julianhinz.com/data-code/gravity.distances/</guid>
      <dc:creator>Julian Hinz</dc:creator>
      <category>gravity models</category>
      <category>research tools</category>
      <description>&lt;p&gt;The &lt;a href=&#34;http://github.com/julianhinz/gravity.distances&#34;&gt;R package gravity.distances&lt;/a&gt; provides distances between geographic entities — such as countries, US states or Canadian provinces — that are consistent with the gravity equation in international economics.&lt;/p&gt;
&lt;p&gt;To install the package in R, simply run the following commands:
&lt;div class=&#34;shadow&#34;&gt;
    
    &lt;div class=&#34;highlight&#34;&gt;&lt;pre class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-R&#34; data-lang=&#34;R&#34;&gt;
&lt;span class=&#34;nf&#34;&gt;install.packages&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;&amp;#34;remotes&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;span class=&#34;n&#34;&gt;remotes&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;::&lt;/span&gt;&lt;span class=&#34;nf&#34;&gt;install_github&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;&amp;#34;julianhinz/gravity.distances&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/p&gt;
&lt;p&gt;For more details and usage examples check out the respective GitHub repositories:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;R package: &lt;a href=&#34;http://github.com/julianhinz/gravity.distances&#34;&gt;gravity.distances&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Dataset repository: &lt;a href=&#34;http://github.com/julianhinz/gravity.distances_data&#34;&gt;gravity.distances_data&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
    </item>
    <item>
      <title>mies.sty</title>
      <link>https://julianhinz.com/data-code/mies.sty/</link>
      <pubDate>Mon, 07 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://julianhinz.com/data-code/mies.sty/</guid>
      <dc:creator>Julian Hinz</dc:creator>
      <category>open-source software</category>
      <category>research tools</category>
      <description>&lt;figure&gt;&lt;img src=&#34;example.svg&#34;
         alt=&#34;mies.sty example.&#34;/&gt;&lt;figcaption&gt;
            &lt;p&gt;mies.sty example.&lt;/p&gt;
        &lt;/figcaption&gt;
&lt;/figure&gt;

&lt;p&gt;&lt;a href=&#34;https://github.com/julianhinz/mies.sty&#34;&gt;&lt;code&gt;mies.sty&lt;/code&gt;&lt;/a&gt; is a clean LaTeX article style focused on clarity, spacing, and classic design — inspired by Mies van der Rohe’s &lt;em&gt;less is more&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;It comes in two variants:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;mies.sty&lt;/code&gt;: full-featured for math-heavy papers with tables and figures&lt;/li&gt;
&lt;li&gt;&lt;code&gt;minimies.sty&lt;/code&gt;: stripped-down for short drafts and clean submissions&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Start your article like this:&lt;/p&gt;
&lt;div class=&#34;shadow&#34;&gt;
    
    &lt;div class=&#34;highlight&#34;&gt;&lt;pre class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-latex&#34; data-lang=&#34;latex&#34;&gt;
&lt;span class=&#34;k&#34;&gt;\documentclass&lt;/span&gt;&lt;span class=&#34;na&#34;&gt;[11pt,a4paper]&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;{&lt;/span&gt;article&lt;span class=&#34;nb&#34;&gt;}&lt;/span&gt;
&lt;span class=&#34;k&#34;&gt;\usepackage&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;{&lt;/span&gt;mies&lt;span class=&#34;nb&#34;&gt;}&lt;/span&gt; &lt;span class=&#34;c&#34;&gt;% or \usepackage{minimies}
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;p&gt;Features include improved spacing, clean typography, longtable and TikZ support, and a custom macro set for academic writing.&lt;/p&gt;
&lt;p&gt;A complete example is included in &lt;a href=&#34;https://github.com/julianhinz/mies.sty/blob/main/example.tex&#34;&gt;&lt;code&gt;example.tex&lt;/code&gt;&lt;/a&gt;, featuring &lt;em&gt;The Economics of Time Travel&lt;/em&gt; by Doc Brown et al.&lt;/p&gt;
&lt;p&gt;Get it from &lt;a href=&#34;https://github.com/julianhinz/mies.sty&#34;&gt;GitHub&lt;/a&gt; or try it on &lt;a href=&#34;https://www.overleaf.com/docs?snip_uri=https://github.com/julianhinz/mies.sty/archive/refs/heads/main.zip&#34;&gt;Overleaf&lt;/a&gt;.
&lt;br&gt;&lt;/p&gt;
</description>
    </item>
    <item>
      <title>luhmann.sty</title>
      <link>https://julianhinz.com/data-code/luhmann.sty/</link>
      <pubDate>Mon, 07 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://julianhinz.com/data-code/luhmann.sty/</guid>
      <dc:creator>Julian Hinz</dc:creator>
      <category>open-source software</category>
      <category>research tools</category>
      <description>&lt;figure&gt;&lt;img src=&#34;example.svg&#34;
         alt=&#34;luhmann.sty example title slide.&#34;/&gt;&lt;figcaption&gt;
            &lt;p&gt;luhmann.sty example title slide.&lt;/p&gt;
        &lt;/figcaption&gt;
&lt;/figure&gt;

&lt;p&gt;&lt;a href=&#34;https://github.com/julianhinz/luhmann.sty&#34;&gt;&lt;code&gt;luhmann.sty&lt;/code&gt;&lt;/a&gt; is a sleek LaTeX Beamer style for academic and professional presentations.&lt;br&gt;
It builds on &lt;a href=&#34;https://github.com/pmichaillat/latex-presentation&#34;&gt;latex-presentation&lt;/a&gt; by Pierre-Olivier Michaillat.&lt;/p&gt;
&lt;p&gt;Include &lt;code&gt;luhmann.sty&lt;/code&gt; in a directory and use it in a presentation with:&lt;/p&gt;
&lt;div class=&#34;shadow&#34;&gt;
    
    &lt;div class=&#34;highlight&#34;&gt;&lt;pre class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-latex&#34; data-lang=&#34;latex&#34;&gt;
&lt;span class=&#34;k&#34;&gt;\documentclass&lt;/span&gt;&lt;span class=&#34;na&#34;&gt;[aspectratio=169]&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;{&lt;/span&gt;beamer&lt;span class=&#34;nb&#34;&gt;}&lt;/span&gt;
&lt;span class=&#34;k&#34;&gt;\usepackage&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;{&lt;/span&gt;luhmann&lt;span class=&#34;nb&#34;&gt;}&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;p&gt;For a full example, see the fictional &lt;strong&gt;Q-Branch briefing&lt;/strong&gt; included in &lt;a href=&#34;https://github.com/julianhinz/luhmann.sty/blob/main/example.tex&#34;&gt;&lt;code&gt;example.tex&lt;/code&gt;&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;More on &lt;a href=&#34;https://github.com/julianhinz/luhmann.sty&#34;&gt;GitHub&lt;/a&gt; or open directly in &lt;a href=&#34;https://www.overleaf.com/docs?snip_uri=https://github.com/julianhinz/luhmann.sty/archive/refs/heads/main.zip&#34;&gt;Overleaf&lt;/a&gt;.
&lt;br&gt;&lt;/p&gt;
</description>
    </item>
    <item>
      <title>Separating the Wheat from the Chaff: Fast Estimation of GLMs with High-Dimensional Fixed Effects</title>
      <link>https://julianhinz.com/research/glmhdfe_technical_note/</link>
      <pubDate>Fri, 15 Mar 2019 00:00:00 +0000</pubDate>
      <guid>https://julianhinz.com/research/glmhdfe_technical_note/</guid>
      <dc:creator>Julian Hinz</dc:creator>
      <dc:creator>Alexander Hudletz</dc:creator>
      <dc:creator>Joschka Wanner</dc:creator>
      <category>econometrics</category>
      <category>research tools</category>
      <description>&lt;p&gt;In this note we describe how the ﬁrst-order conditions of ﬁxed effects in certain generalized linear models display a very convenient form. This can be exploited to implement a very fast GLM estimator with high-dimensional ﬁxed effects, as we do in the R package glmhdfe.&lt;/p&gt;
</description>
    </item>
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