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Shu Shen


  • Ph.D., Economics, University of Texas, Austin, 2011
  • M.S., Economics, University of Texas, Austin, 2008
  • B.A., Economics, Fudan University, Shanghai, 2006


Shu Shen has expertise in econometric theory, applied econometrics and applied microeconometrics.



Research Focus

Shu Shen's research focuses on econometric methods in the following topics: 

  • Regression Discontinuity;
  • Nonparametric/Semiparametric Distributional/Quantile Analysis;
  • Multiple Testing;
  • Treatment Effect Heterogeneity Analysis.

Selected Publications

  • Shen, S. and Abrevaya, J. "Estimation of Censored Panel-data Models with Slope Heterogeneity", Journal of Applied Econometrics (2014)
  • Shen, S. and Zhang, X. “Distributional Tests for Regression Discontinuity: Theory and Empirical Examples”, Review of Economics & Statistics (2016)
  • Shen, S. “Estimation and Inference of Distributional Partial Effects: Theory and Application”, Journal of Business & Economic Statistics (forthcoming)

  • Shen, S.  and Dong, Y. “Testing for Rank Invariance or Similarity in Program Evaluation” with Yingying Dong", Review of Economics & Statistics (forthcoming)

  • Shen, S. and Gu, J. "Oracle and Adaptive False Discovery Rate Controlling Methods for One-sided Testing: Theory and Application in Treatment Effect Evaluation", Econometric Journal (forthcoming)
  • Shen, S., Choi, J. and Gu, J. "Weak Instrument Robust Inference for Two-sample Instrumental Variables Regressions", Journal of Applied Econometrics (forthcoming).


Shu Shen teaches courses in analysis of economic data (ECN 102) and econometrics (ECN 140) for undergraduate students, and cross-sectional econometrics (ECN 240D) and topics in econometrics (ECN 240F) for doctoral students.


  • Hellman Fellow, University of California, Davis, 2015
  • Individual Research Grant, UC Davis Institute for Social Sciences, 2014
  • Travel grant, University of California, Davis, 2014-2016
  • Small research grant, University of California, Davis, 2012–2014-2016
  • Hale Fellowship, University of Texas at Austin, 2008