Keynote Speakers

Marcelle Chauvet

Marcelle Chauvet is a Professor of Economics and the Chair of Department of Economics at University of California, Riverside. She is the Director of International Association for Applied Econometrics and of the Rimini Centre for Economic Analysis. She serves as the Editor-in-Chief of Journal of Business Cycle Research, Assistant Editor of Journal of Applied Econometrics, and Associate Editor of Macroeconomic Dynamics. In the past, she has served as an Economic Advisor of the Ministry of Industry for Brazil and has been a visiting scholar at IMF.

Professor Chauvet’s research areas include time series analysis and forecasting, empirical macroeconomics, financial markets, Latin American economic policy, and development and growth. Her publications have appeared in International Economic Review, Journal of Business Economics and Statistics, Journal of Econometrics, Journal of Urban Economics, among others.

Cheng Hsiao (IAAE Lecture)

Cheng Hsiao is a Professor of Economics at the University of Southern California. He is an Academician of Academia Sinica, a Fellow of the Econometric Society, and a Fellow of the Journal of Econometrics. In 2018, he became a Founding Fellow of the International Association for Applied Econometrics and was also awarded the Multa Scripsit Award by Econometric Theory in 2012. He has served on the advisory boards of the Pacific Economic Review and Singapore Economic Review, and as the Editor of Journal of Econometrics for over two decades.

Professor Hsiao's research interests include theoretical and applied econometrics. He has published extensively in these areas, with numerous research articles in leading journals such as Econometric Theory, Econometrica, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of the American Statistical Association, Journal of Monetary Economics, and Review of Economic Studies, and several books, including Analysis of Panel Data and Panel Data Econometrics.

Lung-Fei Lee

Lung-Fei Lee is a Professor of Economics in Shanghai University of Finance and Economics, and a Professor Emeritus of Economics at the Ohio State University. Professor Lee's research and publications are in the areas of microeconometrics and theoretical econometrics. He has studied issues on self-selection and discrete choices of economics agents; quantity rationing in consumption; disequilibrium market models; dynamic discrete choice behavior of individuals; and econometric issues on limited dependent variables such as binding nonnegative constraints, brand choices in purchasing decisions of consumers, limiting price movements in stock markets, rational expectations formation, switching regressions, and hidden Markov chains.

His current research is on the development of econometric models of spatial or social interactions. He has focused on the study of spatial interactions via the spatial autoregression models, which are cross-section models and have broad applications in regional economics. In the presence of panel data, both static and dynamic spatial autoregression models are studied. Static models may capture both spatial correlation and spatial heterogeneity. Spatial dynamic panels study spatial and temporal economic processes. Possible spatial cointegration of regional markets can be detected in a framework of a spatial dynamic panel. Social interactions concern interactions among individuals or economic agents in groups or in networks. He considers model specifications and econometric estimation methods in order to detect effects of social interactions and network structures on economic outcomes of connected individuals. Networks can have rich structures so that various interaction effects, such as endogenous, contextual, and correlated effects can be separately identified. Networks can be endogenously formed and evolve over time. As networks are formed for certain purposes, so outcomes from a network might be subject to self-selection bias. Professor Lee's research focuses on the econometric specifications of network formation and the estimation of a network formation process in order to correct self-selection bias in outcomes.

Arthur Lewbel

Arthur Lewbel is a Professor of Economics at Boston College in Chestnut Hill, Massachusetts, USA. He is the inaugural holder of the Barbara A. and Patrick E. Roche Chair in Economics at BC. He is a co-editor of Econometric Theory, a former co-editor of The Journal of Business and Economic Statistics and of Economics Letters, and has also served on the editorial boards of Journal of Econometrics and Journal of Applied Econometrics. He is an elected Fellow of the Econometric Society, a Fellow of the Journal of Econometrics, and has received a Multa Scripsit award from Econometric Theory.

Prof. Lewbel’s research mainly focuses on the areas of microeconometrics and consumer demand analysis. He has published 25 papers in the top 5 journals in economics, including 11 papers in Econometrica, 5 papers in the American Economic Review, 4 papers in the Journal of Political Economy, 4 papers in the Review of Economic Studies and 1 paper in the Quarterly Journal of Economics. In a study of over 55,000 economists (https://ideas.repec.org/top/top.ecm.html), he was ranked number 18 in the world based on the quality and quantity of publications.

Esfandiar Maasoumi

Esfandiar Maasoumi is the Arts and Sciences Distinguished Professor of Economics at Emory University. Professor Maasoumi has served as the Editor of Econometric Reviews since 1987. He is a Fellow of the Royal Statistical Society, the American Statistical Association, and Journal of Econometrics, as well as a Founding Fellow of the International Association for Applied Econometrics, among several others.

He is consistently ranked in the top 50 of the “Econometrics Hall of Fame”. He has made influential contributions in forecasting, specification analysis, information theory, multidimensional welfare/wellbeing, mobility and inequality. He has published more than 100 papers in the leading journals in economics, and numerous edited books and special issues covering a wide range of topics in econometrics and economics. His publications have appeared in American Economic Review, Biometrika, Econometrica, Journal of Applied Econometric, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of Political Economy, Review of Economic Studies, Review of Economics and Statistics, among others.

Whitney K. Newey

Whitney K. Newey is the Ford Professor of Economics at Massachusetts Institute of Technology. He is a Fellow of the American Academy of Arts and Sciences, the Econometric Society, and the International Association of Applied Econometrics. He was named a 2020 Distinguished Fellow by the American Economic Association. He has also been a Fellow of the Center for Advanced Study in the Behavioral Sciences and received a Sloan Foundation Research Fellowship. He served as Co-editor of Econometrica, and Program Co-chair for the 2005 World Congress of the Econometric Society, and was on the Executive Committee of the Econometric Society.

Professor Newey’s work on econometric theory and methodology has had a profound impact on the field of economics, and he is best known for his contributions to the development of the Newey-West estimator, a statistical technique used to estimate the covariance matrix of a regression model in the presence of autocorrelation or heteroskedasticity. Professor Newey has also contributed to the development of other important econometric techniques, such as the method of moments and the generalized method of moments. He has published extensively on these and other topics in top academic journals such as American Economic Review, Econometrica, Journal of Econometrics, Journal of Political Economy, Journal of the American Statistical Association, and Review of Economic Studies. His current research interests include debiased machine learning of structural and causal parameters, inference in regression with many included regressors, and economic demand models with general heterogeneity.