معرفی
Yingyao Hu is the Krieger-Eisenhower Professor of Economics and Vice Dean for Social Sciences at Johns Hopkins University. He holds a PhD in Economics from Johns Hopkins University (2003) and has been affiliated with the university since 2007. Previously, he was an assistant professor at the University of Texas at Austin (2003–2007). His research focuses on econometrics, empirical industrial organization, and labor economics, with a particular emphasis on measurement error models, latent variables, and dynamic discrete choice models. He has contributed to leading journals like American Economic Review, Econometrica, and Journal of Econometrics.
Professor Hu has pioneered methods in nonparametric identification and estimation, addressing challenges in unobserved variables and misclassification errors. His work on labor economics includes correcting biases in unemployment rate measurements and analyzing China’s economic dynamics. He is a Fellow of the Journal of Econometrics and co-edited a special issue on measurement errors. Awards include the Denis J. Aigner Award (2022–2023) and the Kuznets Prize (2010–2012).
- Education: PhD (2003), MA in Economics (2001), MSE in Mathematical Sciences (2001) – Johns Hopkins University; Tsinghua University (B.E., 1994); Fudan University (M.A., 1997).
- Research Interests: Machine learning applications in econometrics, production function estimation, and policy analysis using satellite data.
- Awards: Denis J. Aigner Award, Kuznets Prize.
- Grants & Leadership: Oversees faculty policies as Vice Dean; coordinates departmental chair rotations and faculty mentoring.
His lab, the JHU Workshop on Measurement Errors & Latent Variables, hosts interdisciplinary collaborations. Hu’s work bridges econometric theory with practical applications, influencing policy and empirical analysis in labor markets, industrial organization, and macroeconomic growth.
