Talk Title: TBD

Glied’s principal areas of research are in health policy reform and mental health care policy. She has written or co-edited books on health care reform, mental health policy, and health economics. She has served as the Dean of NYU's Graduate School of Public Service, a professor of Health Policy and Management at Columbia, a member of the U.S. Senate, a member of the President's Council of Economic Advisers, and a member of the Clinton Health Care Task Force.

Talk Title: TBD

Eric's research examines questions of health economics and health policy, with a focus on economics and policy in the perioperative setting. Current research topics include the economics of treatments for chronic pain, as well as how physician practice organization affects outcomes and costs.
 

Talk Title: TBD

Chris Bennett is a clinically active emergency physician and faculty scientist in the Department of Emergency Medicine at Stanford University, and also a faculty affiliate with the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) and the Stanford Center for Digital Health (CDH). As an NIH-funded principal investigator, his research group focuses on understanding and improving the quality of care Americans receive in our nation’s emergency departments, as well as identifying who is providing that care. His interests include how policy can inform precision medicine and in developing innovations to optimize healthcare delivery.
 

SCCEI Seminar Series (Winter 2025)

Friday, February 7, 2025 | 12:00 pm -1:20 pm Pacific Time
Goldman Room E409, Encina Hall, 616 Jane Stanford Way

Homemade Foreign Trading: Insider Evasion in China’s Stock Connect Program

Using cross-border holding data from all custodians—financial institutions that safeguard and manage assets—in China’s Stock Connect program, we provide evidence that Chinese mainland insiders evaded see-through surveillance, a tracking mechanism to monitor the true beneficiaries of financial transactions, by engaging in round-tripping trades that disguise domestic capital as foreign investments. Following the 2018 regulatory reform of Northbound Investor Identification, which enhanced regulatory oversight and identification of investors, the correlation between insider trading and northbound flows—capital moving from offshore markets into mainland-listed stocks—weakens. Additionally, the reform reduced the return predictability of these flows, meaning that insider activity within northbound flows no longer strongly predicts future stock performance. This reduction in return predictability is particularly pronounced among less prestigious foreign custodians and cross-operating mainland custodians, who were more commonly used by mainland insiders to conceal their activities. Our analysis highlights the critical role of regulatory cooperation in managing capital market integration and addressing cross-border regulatory arbitrage.

Please register for the event to receive email updates and add it to your calendar. Lunch will be provided.

About the Speaker 
 

Professor Zhiguo He is the James Irvin Miller Professor of Finance at the Graduate School of Business, Stanford University. He is a financial economist whose expertise covers financial markets, financial institutions, and macroeconomics broadly. He is also conducting academic research on Chinese financial markets, and writing academic articles on new progress in the area of cryptocurrency and blockchains. Before joining Stanford GSB, he was on the faculty of Chicago Booth from 2008 to 2023, where he received tenure in 2015 and led Becker Friedman Institute China from 2020 to 2023.

His research has been published in leading academic journals in finance and economics. After serving as associate editors for several leading academic journals, He served as the guest editor of the Review of Finance ”Special Issue on China” and currently serves as the editor of the Review of Asset Pricing Studies.

Professor He received his bachelor and master degrees from the School of Economics and Management at Tsinghua University before receiving his PhD from the Kellogg School of Management at Northwestern University in 2008. 

 

A NOTE ON LOCATION

Please join us in-person in the Goldman Conference Room located within Encina Hall on the 4th floor of the East wing.

Questions? Contact Xinmin Zhao at xinminzhao@stanford.edu
 

Talk Title: Health Impacts of Pandemic-era Food Assistance Policies: A Quasi-experimental Study

Dr. Rita Hamad is a social epidemiologist and the Director of the Social Policies for Health Equity Research (SPHERE) Center at the Harvard School of Public Health. Her research examines the health effects of social and economic policies using interdisciplinary quasi-experimental methods to generate actionable evidence to inform policymaking. She serves as an Advisory Editor for the journal Social Science & Medicine and an Associate Editor at Health Affairs Scholar. In 2020-2022, she was the James C. Puffer American Board of Family Medicine / National Academy of Medicine Fellow. She provides consultation to state and federal legislators on the design of poverty alleviation and social safety net policies. She has over 100 peer-reviewed publications, including many in top health policy, clinical, and epidemiology journals, and her research has been featured in the New York Times, the San Francisco Chronicle, and The Hill. Dr. Hamad received a PhD in Epidemiology from Stanford, an MD from UCSF, master’s degrees from UC Berkeley, and an AB from Harvard University. She saw patients as a family physician for 10 years in safety net clinics throughout the San Francisco Bay Area, although she is no longer a practicing doctor.

An enduring puzzle in comparative politics is why voters in some democracies continuously support dominant parties in elections, and whether their support is based on policy congruence or non-policy factors like valence. Smith and his team consider the preeminent case of a dominant party—Japan’s Liberal Democratic Party (LDP)—and investigate whether voters’ support for its policies can explain its recent landslide election victories. They first introduce a new measurement strategy to infer individuals’ utility for parties’ policy platforms from conjoint experiments. Unlike most other uses of conjoint designs, their approach quantifies individual preferences for entire platforms rather than the average effect of any one component. Using this measure, they then show that many voters supported the LDP in the 2017 and 2021 elections despite preferring the opposition’s policies. To understand what accounts for this disconnect, Smith and his team experimentally manipulate party label and decompose its effect, revealing that trust is an important non-policy factor motivating LDP voters. Together, their findings support the argument that the LDP’s recent dominance can be attributed to its valence advantage over the opposition rather than voters’ support for its policies.

This event is part of APARC's Contemporary Asia Seminar Series.

Daniel M. Smith is Associate Professor of Political Science at the University of Pennsylvania. His research interests cover a range of topics in comparative politics and Japanese politics, with a core focus on elections and democratic representation. He is the author of Dynasties and Democracy: The Inherited Incumbency Advantage in Japan (Stanford University Press, 2018), and articles appearing in the American Political Science Review, American Journal of Political Science, The Journal of Politics, and Comparative Political Studies, among other journals and edited volumes. He also co-organizes the Japanese Politics Online Seminar Series (JPOSS), and co-edits the Japan Decides election series.

Online misinformation poses serious risks to politics and society, prompting researchers and policymakers to explore effective intervention strategies. While approaches like enhancing digital literacy, expert fact-checking, and regulation have shown limited success, a more collective strategy—user correction—offers promise. However, its effectiveness often relies on social factors, such as demographic information and interpersonal relationships, which are frequently absent in online interactions.

Kim will argue that shared membership in online communities serves as a critical yet underexplored social cue that enhances the persuasiveness of corrections. Drawing on two original studies conducted in South Korea—a highly connected but understudied region in misinformation research— Kim finds evidence of ingroup bias that is closely associated with participation in online communities. Furthermore, corrections from members of the same online community can effectively counter misinformation, even in anonymous settings. This research, funded by an APSA grant, offers actionable insights into leveraging online group dynamics to combat misinformation more effectively.

This event is part of APARC's Contemporary Asia Seminar Series.

Dahjin Kim is a PhD Candidate in Political Science at Washington University in St. Louis. She studies online political communication and misinformation, with a particular interest in South Korea. Her research has been supported by the APSA Doctoral Dissertation Research Improvement Grant and has been published in the American Journal of Political Science,  International Organization, Political Science Research and Methods, Journal of Theoretical Politics, and Humanities and Social Sciences Communications. She received her M.A. in Political Science and her B.A. in Political Science from Seoul National University.