معرفی
Xiaohong Chen is the Malcolm K. Brachman Professor of Economics at Yale University, previously holding 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. Her research focuses on econometrics, particularly penalized sieve estimation and nonparametric/semiparametric models, with contributions to time series analysis and causal inference. Chen has authored influential papers in top journals like Econometrica and Annals of Statistics, and her work has won several awards, including the 2017 China Economics Prize and the Econometric Theory Multa Scripsit Award (2012). She serves as editor of the Journal of Econometrics and has held editorial roles at numerous top journals.
Her research interests include semiparametric models, empirical asset pricing, copula methods, and measurement error analysis. Recent work addresses scalable algorithms like stochastic GMM and neural network applications in treatment effect estimation. Chen’s contributions span theoretical econometrics and applied methods, with applications in finance, macroeconomics, and climate modeling.
- Awards: Fellowships from the Econometric Society, American Academy of Arts and Sciences, and multiple best paper awards.
- Grants/Editorial Roles: Editor of Journal of Econometrics (2019–present), associate editorships across leading journals, and grants supporting methodological innovations.
