Sunil Sapra is a Professor of Economics and Statistics at California State University, Los Angeles. He earned his Ph.D. in Econometrics from Columbia University, New York. The main areas of his research are Econometrics (Theoretical and Applied) and Statistics. His current research focuses on high-dimensional data analysis, robust estimation (especially high-breakdown point estimation), semi-parametric estimation of econometric models, resampling techniques, and the counting process approach to transition data analysis. His research on semi-parametric econometrics, missing data problems, nonlinear statistical and econometric models, robust statistical procedures, limited dependent variables and duration data analysis has been published in journals, including Econometric Theory, Econometric Reviews, The American Statistician, International Journal of Advanced Statistics and Probability, Statistica Neerlandica, Statistical Papers, Sankhya, Economics e-journal, Bulletin of Economic Research, Economics Letters, and Journal of Quantitative Economics. He serves on the editorial boards of several statistics and economics journals, including Statistics, Optimization, and Information Computing, Economics e-journal, Open Journal of Statistics, Statistics Research Letters, and British Journal of Management and Economics. He teaches courses in Econometrics, Business Statistics, Forecasting, and International Economics. He has been listed in Who’s Who among American Teachers and Educators (11th Edition, 2007). He received the Outstanding Professor Award from California State University, Los Angeles in 2003.