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ECONOMETRICS CAMP at CEMP, IESR, Jinan University, Guangzhou, China 2019
Invited Lecturers



Whitney Newey (Massachusetts Institute of Technology)

--Machine learning and nonparametrics

Whitney Newey is the Ford Professor of Economics and an econometrician at MIT. He has published many papers in top journals. He is an elected fellow of the American Academy of Arts and Sciences of the Center for Advanced Study in the Behavioral Sciences and the Econometric Society, and an international fellow of CEMMAP, University College London. He also serves in the Executive Committee of the Econometric Society and the Council of the Econometric Society. Professor Newey is best known for co-developing the Newey–West estimator, which robustly estimates the covariance matrix of a regression model when errors are heteroskedastic and autocorrelated.


Bryan Graham (University of California, Berkeley)

--Network and social interactions

Bryan Graham was educated at Oxford University and Harvard University, where he received his PhD in 2005. He is a Professor of Economics at the University of California-Berkeley. He is an Econometrician with research interests in network formation, the identification of peer group effects, panel data and missing data problems. His research has appeared in a variety of journals, including Econometrica and the Review of Economic Studies. He is currently a co-editor at the Review of Economics and Statistics.


          Xiaoxia Shi (University of Wisconsin, Madison)

       --Partial estimation and moment inequality

Xiaoxia Shi graduated from Yale University in 2011. She is a Professor of Economics at the University of Wisconsin-Madison. She is an econometrician with main research interests in partial identification and moment inequality. Her research has published in many top journals such as Econometrica, Journal of Econometrics, Econometric Theory etc. She is currently an associate editor at Econometric Theory and Quantitative Economics.


           Yingyao Hu (John Hopkins University)

        --The econometrics of unobservables

Yingyao Hu is a Professor of Economics at Johns Hopkins University. His research interests include micro-econometrics, empirical industrial organization, and labor economics. His research has focused on the nonparametric identification and estimation of measurement error models, mixture models, panel data model with fixed effects or unobserved covariates, and, generally, microeconomic models with latent variables. He has published in many leading journals in economics and statistics, such as American Economic Review, Econometrica, Journal of the American Statistical Association, Journal of Econometrics, Games and Economic Behavior, Journal of Population Economics, and Journal of Comparative Economics.  He is a Fellow of the Journal of Econometrics and have served on the editorial boards of several journals. He was also a co-editor of a Journal of Econometrics special issue on measurement errors.