معرفی
Jianfei Cao is an Assistant Professor of Economics at Northeastern University's College of Social Sciences and Humanities (CSSH). He holds a PhD from the University of Chicago Booth School of Business (2021). His research focuses on applied and theoretical econometrics, particularly in machine learning methods for economic applications, causal inference in comparative case studies, and weak identification challenges. He has contributed to advancing clustering structures in causal effect estimation and synthetic control methods with spillover effects.
His work bridges econometric theory and practical policy evaluation, addressing issues like gender diversity policies in corporate governance and dynamic treatment effects in staggered adoption scenarios. His recent projects include developing robust inference frameworks for dependent data and analyzing the empirical validity of classical marriage models.
No scientific awards are explicitly mentioned in the provided texts. His advising and grants sections remain unreported. He is affiliated with the Economics department at Northeastern and has collaborated with institutions like the University of Chicago and Stanford University through his publications.
