Dr. Ping YU
Economics

Associate Professor
2857 8358
pingyu@hku.hk
KK 1108
http://web.hku.hk/~pingyu/


Academic & Professional Qualification
Ph.D., M.S., University of Wisconsin-Madison
M.S., B.A., Peking University
Biography
Dr. Ping YU graduated from Peking University in 2000 with a B.S. in Mathematics and Economics, and in 2002 with an M.S. in Finance.? He obtained his M.S. in Economics in 2005, and Ph.D. in Economics in 2009, both from the University of Wisconsin-Madison.? Before joining the Faculty of Business of Economics?at The University of Hong Kong as Assistant Professor in 2014, he was a lecturer at the University of Auckland, New Zealand for five years.
Ping’s research interests are in theoretical and applied microeconometrics, especially in threshold regression and treatment effects evaluation.? He has published several papers in academic journals including Journal of Econometrics, Econometric Theory, and Journal of Business & Economic Statistics among others.
Research Interest
Threshold Regression
Treatment Effects Evaluation
Awards and Honours
The Research Excellence Award 2013 by the University of Auckland Business School
The RBNZ-NZESG Award in Econometrics by the New Zealand Econometrics Study Group (NZESG), 2012
Selected Publications
“Threshold Regression With a Threshold Boundary,” (with Xiaodong Fan), Journal of Business & Economic Statistics, 39, 2021, pp. 953-971.
“Threshold Regression with Endogeneity,” (with Peter Phillips), Journal of Econometrics, 203, 2018, pp. 50-68.
“Regression Discontinuity with Unknown Discontinuity Points: Testing and Estimation,” (with Jack Porter), Journal of Econometrics, 189, 2015, pp. 132-147.
“Adaptive Estimation of the Threshold Point in Threshold Regression,” Journal of Econometrics, 189, 2015, pp. 83-100.
“The Bootstrap in Threshold Regression,” Econometric Theory, 30, 2014, pp. 676-714.
“Inconsistency of 2SLS Estimators in Threshold Regression with Endogeneity,” Economics Letters, 120, 2013, pp. 532-536.
“Likelihood Estimation and Inference in Threshold Regression,” Journal of Econometrics, 167, 2012, pp. 274-294.