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Robert Sherman is a Professor of Economics and Statistics at California Institute of Technology (Caltech). He earned his B.A. from Marquette University in 1978, followed by an M.A. from the University of Louisville in 1985, an M.Phil. from Yale University in 1987, and a Ph.D. in 1991. Sherman served as an Assistant Professor at Caltech from 1996 to 1999, an Associate Professor from 1999 to 2005, and has been a full Professor since 2005. Additionally, he held the position of Executive Officer from 2019 to 2022. His research focuses on developing estimators for causal effects and regression models, addressing issues such as data subject deficiencies and misreporting. He is particularly interested in the large sample behavior of these estimators and works on procedures to estimate causal effects in correlated random coefficient panel data models. His work contributes significantly to the fields of Asymptotic Methods and Econometrics.
California Institute of Technology • Pasadena, CA
Full Professor in the Department of Economics and Statistics.
California Institute of Technology • Pasadena, CA
Served as Associate Professor in the Department of Economics and Statistics.
California Institute of Technology • Pasadena, CA
Served as Assistant Professor in the Department of Economics and Statistics.
California Institute of Technology • Pasadena, CA
Oversaw executive functions within the Department of Economics and Statistics.
Most Caltech graduate programs are PhD-only. GRE General and Subject tests vary by department; many have made them optional or no longer accept them.