Jui-Chung Yang


Jui-Chung Yang

Department of Economics

National Taiwan University

1, Sec. 4, Roosevelt Rd., Taipei City, Taiwan 10617


Welcome to my webpage. My name is Jui-Chung Yang. "Jui" is pronounced as "Ray" and please feel free to call me Ray. I am an associate professor in the Department of Economics at National Taiwan University. My research interests span nonparametric econometrics, machine learning, and environmental economics.


  • Associate Professor, Department of Economics, National Taiwan University, 2021 - Present

    • Adjunct Associate Professor, Department of Economics, National Tsing Hua University, 2021 - Present

  • Assistant Professor, Department of Economics, National Tsing Hua University, 2017 - 2021

    • Adjunct Assistant Professor, Department of Finance, National Taiwan University, 2019 - 2021

  • Postdoctoral Research Fellow, USC Dornsife Institute for New Economic Thinking, University of Southern California, 2014 - 2017


  • Ph.D. (Economics) Texas A&M University, 2009 - 2014

  • M.A. (Economics) National Taiwan University, 2004 - 2006

  • B.A. (Business Administration) National Taiwan University, 1998 - 2002

Working Papers

  • Spontaneous Population Mobility and Demand for Transportation during the Pandemic: Evidence from Taiwan, with Kong-Pin Chen and Tzu-Ting Yang, working paper, 2020. Link


  • COVID-19 and Transboundary Air Pollution: Did Coronavirus Improve Air Quality in Taiwan? with Yun-Peng Lu, forthcoming at Academia Economic Papers, 2021.

  • Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis, with Matthew E. Kahn, Kamiar Mohaddes, Ryan N. C. Ng, M. Hashem Pesaran, and Mehdi Raissi, Energy Economics, 104, 105624, 2021. Link

  • Double Machine Learning with Gradient Boosting and Its Application to the Big N Audit Quality Effect, with Hui-Ching Chuang and Chung-Ming Kuan, Journal of Econometrics, 216, 268–283, 2020. Link

    • Also available at USC-INET Research Paper No. 19-05, 2019. Link

  • Half-Panel Jackknife Fixed Effects Estimation of Panels with Weakly Exogenous Regressor, with Alexander Chudik and M. Hashem Pesaran, Journal of Applied Econometrics, 33, 816–836, 2018. Link

    • Also available at USC-INET Research Paper No. 18-04, 2018. Link

  • Multivariate local polynomial kernel estimators: leading bias and asymptotic distribution, with Jingping Gu and Qi Li, Econometric Reviews, 34, 979–1010, 2015. Link

  • Towards uniformly efficient trend estimation under weak/strong correlation and nonstationary volatility, with Ke-Li Xu, Scandinavian Journal of Statistics, 42, 63–86, 2015. Link