Azeem M. Shaikh is the Ralph and Mary Otis Isham Professor of Economics in the Kenneth C. Griffin Department of Economics and Co-Director of the Becker Friedman Institute’s Big Data Initiative. His research interests lie broadly in econometric theory, including multiple testing problems, resampling methods such as the bootstrap, subsampling and randomization tests, partially identified models with an emphasis on inferential issues in such models, and applications of these ideas. 

Learn more about Professor Shaikh.