<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ruiqi Wang</title><link>https://ruiqiwang.com/</link><description>Recent content on Ruiqi Wang</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://ruiqiwang.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Others</title><link>https://ruiqiwang.com/others/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ruiqiwang.com/others/</guid><description>&lt;h2 id="awards-and-grants"&gt;Awards and Grants&lt;/h2&gt;
&lt;ul class="datelist"&gt;
&lt;li&gt;&lt;span&gt;NUS Goh Keng Swee Scholarship&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span&gt;NUS PhD Research Grant&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span&gt;NUS Research Scholarship&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span&gt;Tianjin University Academic Scholarship&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="miscellaneous"&gt;Miscellaneous&lt;/h2&gt;
&lt;p&gt;☕ Coffee enthusiast, here is my coffee map&lt;/p&gt;
&lt;p&gt;🐶 Dog lover, always happy to make a new canine friend&lt;/p&gt;</description></item><item><title>Research</title><link>https://ruiqiwang.com/research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ruiqiwang.com/research/</guid><description>&lt;h2 id="working-papers"&gt;Working Papers&lt;/h2&gt;
&lt;div class="entry"&gt;
&lt;p class="paper"&gt;&lt;span class="paper__title"&gt;Connect or Clique: The Role of Agent Networks in the Housing Market&lt;/span&gt; &lt;span class="paper__meta"&gt;with Hefan Zheng&lt;/span&gt;&lt;br&gt;&lt;span class="paper__status"&gt;Job Market Paper&lt;/span&gt;&lt;/p&gt;
&lt;details class="abstract"&gt;&lt;summary&gt;Abstract&lt;/summary&gt;&lt;p&gt;Online real estate platforms make listings broadly accessible, yet agents&amp;rsquo; repeated interactions create informal collaboration networks that can segment buyers&amp;rsquo; effective information sets. We study how agents&amp;rsquo; informal collaboration networks shape buyer search and matching outcomes in the housing market. Using detailed buyer-agent-property records covering property showings and transactions, we apply an unsupervised machine learning method to recover agent networks from historical collaboration patterns. We find that buyers served by agents embedded in larger networks view more properties, search longer, and purchase higher-priced properties, whereas those served by agents in more exclusive networks search less and purchase lower-priced properties. We develop and estimate a structural model of buyer search and purchase in which agent networks shape buyers&amp;rsquo; effective information sets through listing awareness and network-based steering. Counterfactual simulations quantify how expanding information access and removing network-based steering affect buyer search, match quality, and welfare.&lt;/p&gt;</description></item><item><title>Teaching</title><link>https://ruiqiwang.com/teaching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ruiqiwang.com/teaching/</guid><description>&lt;p class="subhead"&gt;Department of Economics, National University of Singapore&lt;/p&gt;
&lt;ul class="datelist"&gt;
&lt;li&gt;&lt;span&gt;EC6103 Econometric Modelling and Applications II (PhD level; TA)&lt;/span&gt;&lt;span class="datelist__date"&gt;Spring 2025&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span&gt;EC5103 Econometric Modelling and Applications I (PhD level; TA &amp;amp; Guest Lecturer)&lt;/span&gt;&lt;span class="datelist__date"&gt;Fall 2024&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span&gt;EC3303 Econometrics I (Undergraduate level; TA)&lt;/span&gt;&lt;span class="datelist__date"&gt;Spring 2024&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="subhead"&gt;School of Mathematics, Tianjin University&lt;/p&gt;
&lt;ul class="datelist"&gt;
&lt;li&gt;&lt;span&gt;Numerical Analysis (Undergraduate level; TA)&lt;/span&gt;&lt;span class="datelist__date"&gt;Spring 2020&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>