<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>sensitivity analysis | Jesper N. Wulff</title><link>https://jespernwulff.github.io/tags/sensitivity-analysis/</link><atom:link href="https://jespernwulff.github.io/tags/sensitivity-analysis/index.xml" rel="self" type="application/rss+xml"/><description>sensitivity analysis</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jun 2026 00:00:00 +0200</lastBuildDate><image><url>https://jespernwulff.github.io/media/icon_hu_c98bc1085d22e9da.png</url><title>sensitivity analysis</title><link>https://jespernwulff.github.io/tags/sensitivity-analysis/</link></image><item><title>bootmakr</title><link>https://jespernwulff.github.io/software/bootmakr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jespernwulff.github.io/software/bootmakr/</guid><description>&lt;p&gt;&lt;code&gt;bootmakr&lt;/code&gt; adds bootstrap inference to &lt;a href="https://carloscinelli.com/sensemakr/" target="_blank" rel="noopener"&gt;sensemakr&lt;/a&gt;-style sensitivity analysis, so that sensitivity statistics come with resampling-based uncertainty rather than point estimates alone. A companion Stata implementation is available as &lt;a href="../bootmakr-stata/"&gt;bootmakr for Stata&lt;/a&gt;.&lt;/p&gt;
&lt;pre&gt;&lt;code&gt;# install.packages(&amp;quot;remotes&amp;quot;)
remotes::install_github(&amp;quot;jespernwulff/bootmakr&amp;quot;)
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>bootmakr for Stata</title><link>https://jespernwulff.github.io/software/bootmakr-stata/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jespernwulff.github.io/software/bootmakr-stata/</guid><description>&lt;p&gt;The Stata implementation of &lt;a href="../bootmakr/"&gt;bootmakr&lt;/a&gt;: bootstrap inference for &lt;code&gt;sensemakr&lt;/code&gt; sensitivity analysis, with support for clustered bootstrap, benchmark covariates, multiple &lt;code&gt;kd&lt;/code&gt; values, and plots.&lt;/p&gt;
&lt;pre&gt;&lt;code&gt;net install bootmakr, from(&amp;quot;https://raw.githubusercontent.com/jespernwulff/bootmakr-stata/main/&amp;quot;)
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>Diagnostics Without Microdata: Assessing Credibility of Event Studies and Difference-in-Differences Estimates After Publication</title><link>https://jespernwulff.github.io/publication/diagnostics-without-microdata/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0200</pubDate><guid>https://jespernwulff.github.io/publication/diagnostics-without-microdata/</guid><description/></item><item><title>Why You Should Not Use the ITCV With Robust Standard Errors (and What to Do Instead)</title><link>https://jespernwulff.github.io/publication/itcv-robust-standard-errors/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0200</pubDate><guid>https://jespernwulff.github.io/publication/itcv-robust-standard-errors/</guid><description/></item><item><title>Hic Sunt Dracones: On the Risks of Comparing the ITCV With Control Variable Correlations</title><link>https://jespernwulff.github.io/publication/itcv-control-variable-correlations/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0100</pubDate><guid>https://jespernwulff.github.io/publication/itcv-control-variable-correlations/</guid><description/></item></channel></rss>