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ElisaWirsching committed Jul 17, 2024
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24 changes: 7 additions & 17 deletions research.html
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<a href="http://prodriguezsosa.com/">Pedro L. Rodriguez</a>,
<a href="https://arthurspirling.org/">Arthur Spirling</a>, and
<a href="https://bstewart.scholar.princeton.edu/">Brandon M.
Stewart</a></i><br> <i>Conditionally Accepted at Political
Analysis</i><br>
Stewart</a></i><br> <i>Forthcoming at Political Analysis</i><br>
<details>
<summary>
Abstract
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</h2>
<ul>
<li>
<b>State Coercion and the Political Mobilization of US Teachers</b><br>
<i>with <a href="https://roxannerahnama.com/">Roxanne
Rahnama</a></i><br>
</li>
<p><br></p>
<li>
<b>Fiscal Crisis and Gender Pay Gap in the Bureaucracy</b><br> <i>with
<a href="https://hyeyoungyou.com/">Hye Young You</a> and
<a href="https://kyuwon-lee.github.io/">Kyuwon Lee</a></i><br>
<b>Abstract:</b> How does a fiscal crisis change the gender pay gap in a
bureaucracy? To answer this question, we exploit the sudden budget
crisis in Massachusetts (MA) in 2015 and examine how methods that
governments employ to downsize their agencies - increasing senior
officials’ discretion in setting compensation and adopting
individualized negotiations - have unequal impacts on government
employees. Using 1.4 million observations of detailed individual-level
data about public employees in the MA state government for the period
2010-2020, we find that the fiscal crisis increased the gender pay gap
in executive agencies by 2.4 percentage points. Consequently, women
earned significantly less than their comparable male counter-parts after
the fiscal crisis. We also find that there is significant variation in
the gender pay gap: women in more senior positions and women who work in
agencies with smaller shares of female employees (public safety and
transportation) experienced the largest gender pay gap. <br>
</li>
<br>
</ul>
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8 changes: 6 additions & 2 deletions research.md
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<li>
<b>Multilanguage Word Embeddings for Social Scientists: Estimation, Inference and Validation Resources for 157 Languages</b><br>
<i>with <a href="http://prodriguezsosa.com/">Pedro L. Rodriguez</a>, <a href="https://arthurspirling.org/">Arthur Spirling</a>, and <a href="https://bstewart.scholar.princeton.edu/">Brandon M. Stewart</a></i><br>
<i>Conditionally Accepted at Political Analysis</i><br>
<i>Forthcoming at Political Analysis</i><br>
<details>
<summary>Abstract</summary>
Word embeddings are now a vital resource for social science research. Unfortunately, it can be difficult to obtain high quality embeddings for non-English languages, and it may be computational expensive to do so. In addition, social scientists typically want to make statistical comparisons and do hypothesis tests on embeddings, but this is non-trivial with current approaches. We provide three new data resources designed to ameliorate the union of these issues: (1) a new version of <tt>fastText</tt> model embeddings, fit to Wikipedia corpora; (2) a multi-language "a la carte" (ALC) embedding version of the <tt>fastText</tt> model fit to Wikipedia corpora; (3) a multi-language ALC embedding version of the well-known <tt>GloVe</tt> model fit to Wikipedia corpora. These materials are aimed at "low resource" users who lack access to large corpora in their language of interest, or who lack access to the computational resources required to produce high-quality vector representations. We make these resources available for 30 languages, along with a code pipeline for another 127 languages available from Wikipedia corpora. We provide extensive validation of the materials, via reconstruction tests and some translation proofs-of-concept. We also conduct and report on human crowdworker tests, for our embeddings for Arabic, French, (traditional, Mandarin) Chinese, Japanese, Korean, Russian and Spanish. <br>
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<h2>Works in Progress</h2>
<ul>
<li>
<b>State Coercion and the Political Mobilization of US Teachers</b><br>
<i>with <a href="https://roxannerahnama.com/">Roxanne Rahnama</a></i><br>
</li><br>

<li>
<b>Fiscal Crisis and Gender Pay Gap in the Bureaucracy</b><br>
<i>with <a href="https://hyeyoungyou.com/">Hye Young You</a> and <a href="https://kyuwon-lee.github.io/">Kyuwon Lee</a></i><br>
<b>Abstract:</b> How does a fiscal crisis change the gender pay gap in a bureaucracy? To answer this question, we exploit the sudden budget crisis in Massachusetts (MA) in 2015 and examine how methods that governments employ to downsize their agencies - increasing senior officials' discretion in setting compensation and adopting individualized negotiations - have unequal impacts on government employees. Using 1.4 million observations of detailed individual-level data about public employees in the MA state government for the period 2010-2020, we find that the fiscal crisis increased the gender pay gap in executive agencies by 2.4 percentage points. Consequently, women earned significantly less than their comparable male counter-parts after the fiscal crisis. We also find that there is significant variation in the gender pay gap: women in more senior positions and women who work in agencies with smaller shares of female employees (public safety and transportation) experienced the largest gender pay gap. <br>
</li><br>
</ul>

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