Labor Economics · Applied Microeconomics
Sai Zhang.
Ph.D. candidate in Economics
University of Southern California
On the 2026–2027 job market
I am a micro labor economist studying how organizational decisions and social institutions shape hiring and labor-market opportunities.
My research examines how workers reach employers and how organizations hire, learn, and allocate work. I study application timing, training systems, employer networks, and professional decision-making.

Job market paper
Employers often begin contacting candidates before their applicant pools are complete. Using a correspondence experiment and a sequential recruiting model, I study how this tradeoff between speed and screening changes who receives consideration, even when qualifications are held fixed.
with Daniel L. Chen
How do professionals learn from selectively generated feedback? Linking immigration-court and appellate records, we study how the information in a reversal and judges’ responsiveness shape subsequent decisions and alignment with the appellate standard.
Details & abstract ↗I study how public workforce systems respond to changing skill demand after the rise of generative AI. Linked administrative records show how funding and prior delivery experience shape access to training, and why expanded program menus need not become funded AI training.
Details & abstract ↗Teaching
From intuition
to evidence.
I want students to ask economic questions, reason through models, and judge what the evidence can establish.
My teaching experience spans introductory economics, applied consulting, and doctoral theory. My designed curriculum connects labor economics with empirical methods and research labs.