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Wen Lu (@wenlu33.bsky.social)
designs lab experiments to study how Pigouvian taxes vs. Bayesian persuasion affects decisions in common-pool resource games with risky outside options, bridging theory and evidence on incentives, information, and collective behavior. 🔗 www.wenlu.site

Thomas Kouwe uses statewide admin data from Georgia’s adult education programs to study how classmates influence adult learner attendance—using a novel strategy to address nonrandom assignment.
🔗 sites.google.com/view/thomas-...

Ben Mosier IV uses experimental and quasi-experimental methods to study individual decision-making and behavior change, with a focus on preventive healthcare and pro-social behavior.
🔗 benmosieriv.com

Christian Saenz (@chrissaenz.bsky.social) is an applied microeconomist with interests in health and public economics. His research examines health and mortality spillovers from risky behaviors in order to inform smarter public health policy. 🔗 ChristianMSaenz.com

Salma Mohammad Ali uses school administrative data to examine spillover effects from students affected by homelessness and explore how experiencing homelessness affects outcomes for students themselves. 🔗 salma-m-ali.github.io

Siru Liu uses lab experiments to study efficiency and justified envy of the deferred acceptance mechanism and the top trading cycle mechanism in school choice context when students can express incomplete preferences.

Federico Corredor's (@fedecorredor.bsky.social) research uses quasi-experimental & structural methods to study tax policy’s distributive effects and behavioral responses to economic development incentives. 🔗 tinyurl.com/fcorredor

Yiwei Duan studies higher ed: (1) How state appropriations in other states drive student migration, and (2) How Adult Ed courses on college campuses influence postsecondary enrollment, using restricted admin data. 🔗 yiweiduan98.github.io

Olanrewaju Yusuff (@olayusuff.bsky.social) studies how healthcare access shapes population health—covering mental health (JMP), EMS, & maternal care. Using causal inference + new U.S./Nigeria data, he offers the first causal evidence on these vital questions
🔗 olanrewajuyusuffecon.github.io/website/

Tejendra Singh's work uses novel data, such as text and satellite data, to generate insights of direct policy relevance. His research agenda examines the role of access to healthcare services and their impact on downstream health outcomes. 🔗 tejendrapsingh.net

Sukriti Beniwal (@beniwalsukriti.bsky.social) studies how healthcare policy & organizational incentives affect provider use, service availability, and patient outcomes, with a focus on maternal health outcomes. 🔗 www.sukritibeniwal.com

Jafar Jafarov (@jafaro0.bsky.social) provides the first quasi-experimental evidence on the consequences of a drug policy that eradicated illicit crops, revealing dynamic shifts in food insecurity that reflect both the vulnerability and resilience of those affected. 🔗 www.jafarov.net

@wenlu33.bsky.social, @chrissaenz.bsky.social @tejendrapsingh.bsky.social, @jafaro0.bsky.social, @olayusuff.bsky.social

“The Consequences of Federal Abortion Funding Bans” from @mayrapinedat.bsky.social, @lhoehnvelasco.bsky.social, and Nikita Dhingra looks at a really understudied form of abortion restrictions