معرفی
Shu Shen is an Associate Professor and Graduate Program Chair in the Department of Economics at the University of California, Davis, specializing in econometric theory and its applications in microeconometrics.
His academic credentials include:
- Ph.D. in Economics, University of Texas at Austin, 2011
- M.S. in Economics, University of Texas at Austin, 2008
- B.A. in Economics, Fudan University, Shanghai, 2006
Shen's research centers on advancing econometric methodologies for causal inference, with emphasis on regression discontinuity designs, GMM identification, multiple testing frameworks, and distributional/quantile analysis. His work bridges theoretical rigor with practical applications in program evaluation and treatment effect heterogeneity.
His publications reveal consistent contributions to methodological econometrics, particularly in developing robust techniques for regression discontinuity, treatment effect analysis, and multiple hypothesis testing. These works frequently employ nonparametric and semiparametric approaches to address distributional questions in empirical economics, appearing in leading journals like the Review of Economics and Statistics and Journal of Econometrics.
Shen's research impact is recognized through prestigious awards:
- Hellman Fellow, University of California, Davis (2015)
- Individual Research Grant, UC Davis Institute for Social Sciences (2014)
- Small research grant, University of California, Davis (2012–2014, 2019)
- Hale Fellowship, University of Texas at Austin (2008)
As Graduate Program Chair, he oversees doctoral training in Economics while securing research funding from institutional sources. His teaching portfolio spans undergraduate econometrics (ECN 102, 140) and graduate-level courses (ECN 240D, 240F), emphasizing both theoretical foundations and empirical applications.
