Vadim Marmer

Vadim Marmer is a Professor in the Department of Economics at The University of British Columbia. He joined UBC in 2005 after earning his Ph.D. at Yale University. His research focuses on econometrics, with interests in estimation and inference in auctions, weak identification, model misspecification, non-stationary time series, and inference with network-dependent data. Marmer's work is available on his personal website, where he also provides contact details and information about his teaching and research activities.

Vadim Marmer is an econometrician whose research focuses on econometrics, with a particular emphasis on nonparametric methods, instrumental variables regression, and auction theory. His work explores topics such as first-price auctions, fuzzy regression discontinuity designs, and long-memory processes. Marmer's research also addresses issues like weak identification, spurious forecasts, and regime switching in economic data. His contributions include developing distribution-free inference techniques and examining the implications of nonlinearity and nonstationarity in economic models. His studies often involve rigorous statistical methods to analyze complex economic phenomena and improve the accuracy of econometric inference.