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NYU-CRATE is excited to announce that Professor Xiaohong Chen will be visiting NYU-CRATE for two weeks in Spring 2015. Professor Chen is the Malcolm K. Brachman Professor of Economics at Yale University, and is an NYU-CRATE Research Affiliate. She is a leading econometric theorist, and has done seminal work on semi/nonparametric estimation and inference methods especially in the context of sieve methodology. Read More
NYU-CRATE is excited to announce that Professor Azeem Shaikh is visiting NYU-CRATE for two weeks, from April 20 to May 1. Professor Shaikh is a Professor of Economics at the University of Chicago, and is an NYU-CRATE Research Affiliate. He is an econometric theorist specializing in inference for nonstandard problems in econometrics and statistics, and is most noted for his seminal work on inference for partially identified models and on multiple hypothesis testing.” Read More
NYU-CRATE is excited to announce that Professor Hidehiko Ichimura of the University of Tokyo will be visiting NYU-CRATE in February and March of 2015. Professor Ichimura is a theoretical and applied econometrician. He has done seminal work on semiparametric estimation of single index models and on the use of matching estimators of treatment effects. Read More
NYU-CRATE is excited to announce that Dr. Stepana Lazarova will be visiting NYU-CRATE for the 2014-15 academic year. Dr. Lazarova is a Senior Lecturer at the School of Economics and Finance at Queen Mary, University of London, specializing in time-series and panel data econometrics. In her research, she has investigated time series with long memory in the presence of structural breaks; she has examined how the spatial proximity of cities influences the evolution of city price indexes; and she has also developed nonparametric methods that can be employed for the detection of correlation in time series.” Read More
NYU-CRATE is excited to announce that Professor Emmanuel Guerre will be visiting NYU-CRATE for the 2014-15 academic year. Dr. Guerre is a Professor of Economics at the School of Economics and Finance at Queen Mary, University of London, with interests in both theoretical and applied econometrics we well as empirical industrial organization. Emmanuel’s research includes work on nonparametric identification and inference for auctions and nonparametric inference. His recent work deals with a new quantile methodology for conditional dependence analysis with applications to first-price auction signal models.” Read More