Ying Zhu

Education: PhD, U.C. Berkeley; MA, U.C. Berkeley; MS, M.I.T.; BA, Carroll College, MT

Research Fields: Theoretical Statistics, Econometrics, Integration of Economic Models, Machine Learning, and Operations Research

Theoretical and Methodological Interests: High-Dimensional Estimation and Inference, Nonasymptotic Statistics, Semiparametric and Nonparametric Methods, Panel/Longitudinal Data Analysis (with Both i.i.d. and Temporal Features), Integration of Economic Models and Machine Learning, Causal Inference, Bayesian Methods

Applicational Interests: Social Science and Business in General such as Education, Healthcare, Industrial Organization, Management, Marketing Strategy, Trade and Growth, Transportation Economics

Publications
Working Papers

PhD Dissertation 
Endogenous Econometric Models and Multi-Stage Estimation in High-Dimensional Settings: Theory and Applications - University of California, Berkeley, Spring 2015
PhD Dissertation Committee Chairs: James Powell (Economics), J. Miguel Villas-Boas (Haas School of Business)
PhD Dissertation Committee Members: Martin Wainwright (Statistics and EECS), Ganesh Iyer (Haas School of Business), Przemyslaw Jeziorski (Haas School of Business), Demian Pouzo (Economics)

M.S. Thesis 
Evaluating Airline Delays: The Role of Airline Networks, Schedules, and Passenger Demands School of Engineering, Massachusetts Institute of Technology, Feb. 2009, supervised by Cynthia Barnhart