معرفی
Xiaohong Chen is the Malcolm K. Brachman Professor of Economics and Professor of Management at Yale University. She previously held positions at the University of Chicago, London School of Economics, and New York University. She earned her PhD in Economics from the University of California, San Diego.
- Education: PhD in Economics (UC San Diego)
Her research focuses on econometrics, particularly penalized sieve estimation, inference on semiparametric and nonparametric models, and applications to nonlinear time series, empirical asset pricing, copula modeling, missing data, measurement error, nonparametric instrumental variables, conditional moment restrictions, and causal inference. She has developed scalable algorithms like stochastic generalized method of moments (SGMM) for real-time data analysis.
Her publications span top journals in economics (Econometrica, Review of Economic Studies), statistics (Annals of Statistics, Journal of the American Statistical Association), and engineering (IEEE Transactions). Key themes in her work include robust econometric methods, nonparametric inference, and machine learning integration for high-dimensional confounders.
Scientific Awards:
- 2017 China Economics Prize
- Econometric Theory Multa Scripsit Award (2012)
- Journal of Nonparametric Statistics Best Paper Award (2010)
- Richard Stone Prize (2008-2009)
- Arnold Zellner Award (2006-2007)
- Elected Member, American Academy of Arts and Sciences (2019)
- Fellow of the Econometric Society (2007)
She serves as an editor of the Journal of Econometrics (since 2019) and has been an associate editor for multiple journals. Her PhD thesis addressed stochastic approximation in function spaces for near-epoch dependent processes.
