1648785253949659.png





Dr. Zongwu CAI, University of Kansas

Dr. Zongwu CAI is Charles Oswald Distinguished Professor of Econometrics and Professor of Economics at Department of Economics, University of Kansas. He received his Ph.D. in Statistics at University of California Davis in 1995. His current research interests include both theoretical and applied econometrics, panel data analysis, financial econometrics, risk management, economic analysis and prediction, economic and social program evaluation, non-stationary and nonlinear time series modeling, nonparametric econometrics, and data science and related fields, among others. His work has been published extensively in leading journals including, Biometrika, Journal of Econometrics, Journal of American Statistical Association, Econometric Theory and Journal of Business & Economic Statistics.


Homepage: http://www.people.ku.edu/~z397c158/index.html



1648785253940168.png

Dr. Matias CATTANEO, Princeton University

Dr. Matias CATTANEO is a Professor of Operations Research and Financial Engineering (ORFE) at Princeton University, where he is also an Associated Faculty in the Department of Economics, the Center for Statistics and Machine Learning (CSML), and the Program in Latin American Studies (PLAS). He received his Ph.D. in Economics from the University of California at Berkeley in 2008. His research spans econometrics, statistics, data science and decision science, with particular interests in program evaluation and causal inference. He serves in the editorial boards of the Journal of the American Statistical AssociationEconometricaOperations ResearchEconometric Theory, the Econometrics Journal, and the Journal of Causal Inference. His papers have been published in major economic journals including EconometricaJournal of Political EconomyJournal of EconometricsJournal of the American Statistical Association, and Review of Economics and Statistics


Homepage: https://cattaneo.princeton.edu/home



1648785253540428.png

Dr. Jianqing FAN, Princeton University

Dr. Jianqing FAN is currently the Frederick L. Moore '18 Professor of Finance, Professor of Statistics, and Professor of Operations Research and Financial Engineering at the Princeton University where he chaired the department from 2012 to 2015. He received his Ph.D. in Statistics from the University of California at Berkeley in 1989. He is a statistician, financial econometrician and data scientist. His research interest focuses on statistical theory and methods in data science, statistical machine learning, finance, economics, computational biology, biostatistics with particular skills on high-dimensional statistics, nonparametric modeling, etc. His work has been published extensively in leading journals including Annals of Statistics, Biometrika, Journal of Econometrics, Journal of American Statistical Association, and Review of Financial Economics. He is the winner of The 2000 COPSS Presidents' Award, Morningside Gold Medal for Applied Mathematics (2007), Guggenheim Fellow (2009), Pao-Lu Hsu Prize (2013) and Guy Medal in Silver (2014). He is the co-editor of Journal of Business & Economics Statistics and is also the associate editor of Management Science.


Homepage: https://fan.princeton.edu/biography.html



1649746773618020.png

Dr. Ivan FERNANDEZ-VAL, Boston University

Dr. Ivan FERNANDEZ-VAL is a Professor of Economics at Boston University. He received his Ph.D. in economics from the Massachusetts Institute of Technology in 2005. His research interests include econometric theory, applied econometrics and labor economics. He is the editor-in-chief of Econometric Theory and the associate editor of Journal of Econometrics, Journal of Business & Economic Statistics and Econometric Reviews. He has published academic papers in Econometrica, Review of Economic Studies, Journal of Econometrics, Journal of the American Statistical Association, Quantitative Economics, Biometrika and Economic Theory.


Homepage: https://sites.bu.edu/ivanf/ 



1648785253671924.png

Dr. Yongmiao HONG, University of Chinese Academy of Sciences 

Dr. Yongmiao HONG is currently a distinguished research fellow at Academy of Mathematics and Systems Science and Center for Forecasting Science, Chinese Academy of Sciences (CAS), and a special-term professor at School of Economics and Management, University of Chinese Academy of Sciences (UCAS). He received his Ph.D. in Economics from the University of California, San Diego in 1993. Before he joined CAS and UCAS, he was the Ernest S. Liu Professor of Economics and International Studies, a Professor of Statistics, and a field member in Center of Applied Mathematics at Cornell University in the United States. His research interests include model specification testing, nonlinear time series analysis, financial econometrics, and empirical studies on Chinese economy and financial markets. He publishes refereed articles in mainstream economic, financial and statistical journals including Econometrica, Journal of Political Economy, Review of Economic Studies, Annals of Statistics, Quarterly Journal of Economics, Biometrika, Econometric Theory, International Economic Review, Journal of American Statistical Association and Journal of Business Economic Statistics.


Homepage: https://teacher.ucas.ac.cn/~ymhong?language=en



1648785253326163.png

Dr. Yu-Chin HSU, Academia Sinica

Dr. Yu-Chin HSU is a research fellow and is currently the Deputy Director of Institute of Economics, Academia Sinica. He obtained his Ph.D. in Economics from University of Texas at Austin in 2010. His is an econometrician and his research interest includes treatment effect models, regression discontinuity models and inference based on moment inequalities. His work has been published in the top academic journals including Journal of Econometrics, Quantitative Economics, Econometric Theory and Journal of Business & Economic Statistics.


Homepage: http://yuchinhsu.yolasite.com/



1648786212685548.png





Dr. Hiro KASAHARA, University of British Columbia

Dr. Hiro KASAHARA is a professor at the Vancouver School of Economics at the University of British Columbia in Vancouver, Canada. He obtained his Ph.D. from the University of Wisconsin-Madison in 2002. His main research areas are econometrics, international trade, economic issues related to COVID. In econometrics, his research interests include structural estimation, finite mixture models, nonparametric identification, and causal inference. He is the associate editor of Japanese Economic Review. He has published papers in top academic journals, including Econometrica, Journal of Econometrics, Journal of International Economics, Journal of Development Economics, and Journal of Business & Economic Statistics.


Homepage: https://economics.ubc.ca/faculty-and-staff/hiro-kasahara/



1648786213592119.png

Dr. Lung-Fei LEE, The Ohio State University 

Dr. Lung-Fei LEE is currently the Chair Professor of Econometrics at Ohio State University. He received his Ph.D. in Economics from the University of Rochester in 1997. His research and publications are in the areas of microeconometrics and theoretical econometrics. His main research interests are spatial econometrics, theoretical econometrics, econometrics of networks, and microeconomics. He serves as editor in chief of Journal of Spatial Econometrics, consulting editor of Macroeconomic Dynamics. He is also on the editorial boards of Annals of Economics and Finance, Foundations and Trends TM in Econometrics, and the Global Journal of Economics. His work has been published in the top academic journals including Econometrica, Journal of Econometrics, Journal of the American Statistical Association, Quantitative Economics, International Economics Review, Journal of Development Economics and Review of Economics and Statistics.


Homepage: https://economics.osu.edu/people/lee.1777



1649236783739368.png

Dr. Jia LI, Singapore Management University

Dr. Jia LI is Lee Kong Chian Professor of Economics at Singapore Management University. He received his Ph.D. from Princeton University in 2011. His current research interests include econometrics, financial economics and macroeconomics. He is the associate editor of Econometrica, Journal of Econometrics, Econometric Theory, Journal of Business and Economic Statistics and Journal of Financial Econometrics. His work has appeared in Econometrica, Annals of Statistics, Journal of Econometrics, Quantitative Economics, and Econometric Theory.


Homepage: https://faculty.smu.edu.sg/profile/li-jia-1046



1648786213569046.png

Dr. Hashem PESARAN, University of Southern California, and Fellow of Trinity College, Cambridge, England

Dr. Hashem PESARAN is the John Elliot Distinguished Chair in Economics and Professor of Economics at USC Dornsife, and Emeritus Professor of Economics at Cambridge University and a Lifetime Fellow of Trinity College, Cambridge. He is also a Fellow of the British Academy, the Econometric Society and the Journal of Econometrics. He was awarded Honorary Doctorates by the University of Salford in 1993, the University of Goethe, Frankfurt in 2008, the University of Maastricht in 2013 and the University of Economics in Prague in 2016. He received his Ph.D. in Economics from Cambridge University in 1972. His research covers national and global macroeconometric modelling (gvar), econometric analysis of dynamic panels, credit risk modeling, monetary and foreign exchange policy in Iran. He was previously a professor at UCLA (1989-93), the Head of the Economic Research Department of the Central Bank of Iran (1974-76) and Under-Secretary in the Ministry of Education (1976-78) in Iran. He has served as consultant to the United Nations, the World Bank and the International Monetary Fund. Dr. Pesaran is the founding editor of the Journal of Applied Econometrics, and a founding Board Member of the International Association for Applied Econometrics. His work has been published around 250 articles in academic journals and edited volumes, and 19 books and edited volumes.


Homepage: https://dornsife.usc.edu/cf/faculty-and-staff/faculty.cfm?pid=1003600



1648786213675370.png

Dr. Joris PINKSE, Penn State University

Dr. Joris PINKSE is a professor of Economics at Penn State University. He received his Ph.D. from London School of Economics in 1994. His research interests include econometrics, industrial organization, and antitrust economics. He has served on the editorial boards of five economics journals including Econometrica and Journal of Econometrics. He is the 2014 recipient of the Raymond Lombra Award for Distinction in the Social or Life Sciences. His work had been published in Econometrica, the Review of Economic Studies, Journal of Econometrics, and a number of other journals.


Homepage: http://joris.pinkse.org/



1648786213383003.png

Dr. Shuping SHI, Macquarie University

Dr. Shuping SHI is a Professor at Macquarie University. She obtained her Ph.D. in economics from the Australian National University in 2011. She is an econometrician with a theoretically grounded and policy-relevant research agenda in Financial Econometrics and Applied Economics. She has published in top-tier academic journals, including Journal of Econometrics, International Economic Review, Econometric Theory, Management Science, and Journal of Financial Econometrics.


Homepage: https://sites.google.com/site/shupingshi/



1648786858862576.png





Dr. Xiaoxia SHI, University of Wisconsin-Madison

Dr. Xiaoxia SHI is currently the Lowell and Leila Robinson Professor at the University of Wisconsin-Madison. She received her Ph.D. in economics from Yale University in 2011. She is a theoretical econometrician and her research interests include moment inequality models and identification. Her research focuses on Econometrics and Empirical Economics. Her work has appeared in leading journals including Econometrica, Journal of Political Economy, Review of Economic Studies, Journal of Econometrics, Quantitative Economics, and Econometric Theory.


Homepage: https://www.ssc.wisc.edu/~xshi/


1648786858853589.png

Dr. Kyungchul SONG, University of British Columbia 

Dr. Kyungchul SONG is a professor at the Vancouver School of Economics. He received his Ph.D. in economics from Yale University in 2005. His main research interests are inference on various nonparametric or semiparametric models, optimal inference on nonregular parameters or set-identified parameters, and estimation of structural models based on interactions among economic agents. His work has appeared in top journals including Annals of Statistics, Journal of Political Economy, Journal of Econometrics, Quantitative Economics, Review of Economics and Statistics, Econometric Theory and Journal of Business & Economic Statistics.


Homepage: https://blogs.ubc.ca/kyungchulsong/ 



1648786858178178.png

Dr. Zhijie XIAO, Boston College

Dr. Zhijie XIAO is currently a professor in the Department of Economics at Boston College. He received his Ph.D. in economics from Yale University in 1997. His research interests include econometrics theory and empirical finance. He has won awards including Plura Scripsit Award in Econometric Theory, Multa Scripsit Award in Econometric Theory, Cowles Foundation for Research in Economics, Boston College Distinguished Junior Scholar Research Award (2007), and Research Award for Excellence of University of Illinois in Urbana-Champaign (2000). His work has appeared in leading journals including Journal of the American Statistical Association, Econometrica, Journal of Econometrics, Econometric Theory and Journal of the Royal Statistical Society Series B. He also serves in the editorial boards of the Econometric Theory, Econometrics Reviews, Economics Letters, Economics Bulletin, Journal of Time Series Econometrics, and Journal of Risk and Financial Management


Homepage:

https://www.bc.edu/bc-web/schools/mcas/departments/economics/people/faculty-directory/zhijie-xiao.html



1648786858716495.png

Dr. Dacheng XIU, University of Chicago

Dr. Dacheng XIU is a professor of Econometrics and Statistics at the University of Chicago. He received his Ph.D. in mathematics from Princeton University in 2011. His research interests include developing statistical methodologies and applying them to financial data, while exploring their economic implications. His earlier research involved risk measurement and portfolio management with high-frequency data and econometric modeling of derivatives. His current work focuses on developing machine learning solutions to big-data problems in empirical asset pricing. He is a Co-Editor for the Journal of Financial Econometrics, an Associate Editor for the Review of Financial Studies, Management Science, Journal of Econometrics, Journal of Business & Economic Statistics, Journal of Applied Econometrics, the Econometrics Journal, and Journal of Empirical Finance. His work has appeared in Econometrica, Journal of Political Economy, Annals of Statistics, Journal of Finance, Review of Financial Studies, and Journal of the American Statistical Association.


Homepage: https://dachxiu.chicagobooth.edu/



1648786858758595.png

Dr. Victoria ZINDE-WALSH, McGill University

Dr. Victoria ZINDE-WALSH is the Emeritus Full Professor of McGill University. She received her Ph.D. in Mathematics from Moscow State University in 1978. Her research interests are Econometric Theory, Time Series, Non-Parametric Methods and the use of the Mathematical Theory of generalized functions. Her papers have been published in top academic journals including Econometrica, Biometrika, Journal of Econometrics, and Econometric Theory.


Homepage: https://www.mcgill.ca/economics/victoria-zinde-walsh