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<!DOCTYPE html>
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<title>Teaching — Mar C. Espadafor</title>
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<span class="mono">Methods schools</span>
<h1>Teaching</h1>
<p>Every session pairs a real dataset with a theory to evaluate against it. Students code live, argue implications, and leave with scripts that run and questions that matter.</p>
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<article class="course reveal" id="rdd">
<div class="card__meta"><span class="chip chip--inst">Institutions</span></div>
<h2>The ABCs of RDDs and IVs</h2>
<p class="course__where mono">RECSM Summer Methods School, Universitat Pompeu Fabra — 2024, 2025, 2026</p>
<p class="course__body">An advanced course on regression discontinuity and instrumental variables for researchers who already work quantitatively. Every session pairs a real dataset with a theory to evaluate against it: participants code live, argue implications, and leave with scripts that run.</p>
<ul class="steps"><li>Engage critically with the terminology and concepts behind causal identification.</li><li>Understand and run causal inference designs in Stata or R.</li><li>Assess the checks and the threats that each design carries.</li></ul>
<div class="card__links"><a href="https://www.upf.edu/documents/3966940/280241898/ABCs+of+Regression_RECSM_2024.docx.pdf/af2f21d7-2a74-f37e-e50c-f8958404030c?t=1702560541862" target="_blank" rel="noopener">Course description (PDF)</a><a href="https://www.upf.edu/web/survey/2026-summer-methods-school" target="_blank" rel="noopener">RECSM Summer School 2026</a></div>
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<article class="course reveal" id="rdd-trento">
<div class="card__meta"><span class="chip chip--inst">Institutions</span></div>
<h2>The ABCs of RDDs</h2>
<p class="course__where mono">TNSQUARE, Università di Trento — October 2023</p>
<p class="course__body">An introduction to regression discontinuity for sociologists, built around applications rather than proofs, for the third edition of the TNSQUARE school.</p>
<div class="card__links"><a href="https://tnsquareunitn.github.io/" target="_blank" rel="noopener">TNSQUARE</a></div>
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<div class="card__meta"><span class="chip chip--edu">Education</span></div>
<h2>Panel Data Analysis</h2>
<p class="course__where mono">European University Institute — April 2022</p>
<p class="course__body">An advanced 20-credit methods course, co-taught with Giampiero Passaretta.</p>
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<article class="course reveal" id="r">
<div class="card__meta"><span class="chip chip--fore">Foresight</span></div>
<h2>Introduction to R</h2>
<p class="course__where mono">UNED — March 2023</p>
<p class="course__body">The basics of the language — vectors, factors, lists, data frames — and the tools R gives you for manipulating and visualising data: tidyverse, dplyr, ggplot2.</p>
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<article class="course reveal" id="maps">
<div class="card__meta"><span class="chip chip--fore">Foresight</span></div>
<h2>Drawing Maps in R</h2>
<p class="course__where mono">CLIC Training workshops, GEOSMITE Project, European University Institute — 2020</p>
<p class="course__body">An introduction to spatial data: reading shapefiles in R, turning map outlines into data frames ggplot2 can handle, projections with sp, and calculating distances. All the materials are open.</p>
<div class="card__links"><a href="https://github.com/marespadafor/drawingmaps" target="_blank" rel="noopener">All materials on GitHub</a></div>
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<span class="mono band__kicker">Courses I am ready to teach</span>
<h2>Courses I am ready to teach</h2>
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<ul class="press"><li>Causal inference: RDD, IV, DiD</li><li>Panel data analysis</li><li>Introduction to R</li><li>Education and labour-market inequality</li><li>Sociology of work relations</li><li>Comparative labour-market institutions</li><li>Foresight for social research</li><li>Quantitative social trends and indicators</li><li>Introduction to sociology (online)</li></ul>
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<h2 class="site-foot__big">Let’s talk!</h2>
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<span>© <span id="yr">2026</span> Mar C. Espadafor</span>
<span class="mono">Madrid</span>
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