Shu Shen

Shu Shen Portrait

Position Title
Associate Professor and Graduate Program Chair

1125 SSH
Bio

Education

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

About

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;
  • GMM Identification
  • Multiple Testing;
  • Treatment Effect Heterogeneity Analysis;
  • Nonparametric/Semiparametric Distributional/Quantile Analysis.

Publications

  • Choi, J. and Shen, S. “Weak Instrument Robust Inference for Two-sample Instrumental Variables Regressions” Stata Journal (forthcoming)

  • Hsu, Y. and Shen, S. “Testing for Treatment Effect Heterogeneity in Regression Discontinuity Design”, Journal of Econometrics (2019)

  • Dong, Y. and Shen, S. “Testing for Rank Invariance or Similarity in Program Evaluation” with Yingying Dong", Review of Economics & Statistics (2018)

  • Gu, J. and Shen, S. "Oracle and Adaptive False Discovery Rate Controlling Methods for One-sided Testing: Theory and Application in Treatment Effect Evaluation", Econometric Journal (2018)

  • Choi, J., Gu, J., and Shen, S. "Weak Instrument Robust Inference for Two-sample Instrumental Variables Regressions", Journal of Applied Econometrics (2018).

  • Shen, S. “Estimation and Inference of Distributional Partial Effects: Theory and Application”, Journal of Business & Economic Statistics (2019)

  • Shen, S. and Zhang, X. “Distributional Tests for Regression Discontinuity: Theory and Empirical Examples”, Review of Economics & Statistics (2016)

  • Abrevaya, J. and Shen, S. "Estimation of Censored Panel-data Models with Slope Heterogeneity", Journal of Applied Econometrics (2014)

 

Teaching

Shu Shen teaches courses in analysis of economic data (ECN 102), econometrics (ECN 140), and economic and financial forecasting (currently ECN 190) for undergraduate students, and cross-sectional econometrics (ECN 240D) and topics in econometrics (ECN 240F) for doctoral students.

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

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