Esfandiar Maasoumi

Esfandiar Maasoumi has been the editor and managing editor of Econometric Reviews since 1987. Maasoumi is a Fellow of the Royal Society, a Fellow of the American Statistical Association, Founding Fellow of International Association for Applied Econometrics (IAAE), Fellow of Society for Economic Measurement, and several others. He earned a Fellow of Journal of Econometrics since 1989.

Maasoumi is the Arts & Sciences Distinguished Professor of Economics at Emory University, and has served at the London School of Economics, USC, Indiana, SMU, and has been a visitor at MIT, Yale, University of California (several campuses), and others. He has B.SC, M.SC and Ph.D degrees in Mathematical Economics, Statistics, and Econometrics (respectively) from the London School of Economics, University of London.

He has published more than 100 papers in the leading journals in economics, and numerous edited books and special issues on a wide range of topics in econometrics and economics. His publications have appeared in Econometrica, J. of Econometrics, Journal of Political Economy, Review of Econ and Stats, Review of Economic Studies, American Economic Review, Journal of Business and Economic Statistics, Journal of applied Econometric, Biometrika, among others. He is consistently ranked in the top 50 of the “Econometrics Hall of Fame”.

He has influential works on multidimensional well-being, mobility, and poverty. His measures of aggregation and inequality in many dimensions are leaders in the field, as is his leading work on stochastic dominance with Oliver Linton and others.

He is a known leader and innovator in the field of Information Theory.

His areas of research also include nonlinear time series models and methods, Information Theory, Aggregation, Econometric tests and estimators, finite sample distribution theory, forecasting, empirical finance, Patent infringement, nonparametric methods. To learn more about how Esfandiar uses econometrics and economics to study inequality, watch this video.