Robert Sherman

Robert Sherman is a Professor of Economics and Statistics at the California Institute of Technology (Caltech), affiliated with the Division of Humanities and Social Sciences. He holds a Ph.D. in Statistics from Yale University (1991) and joined Caltech in 1996 as an Assistant Professor, advancing to his current rank in 2005. His research focuses on asymptotic methods, semiparametric estimation, and addressing data deficiencies such as misreporting or nonresponse. Sherman has contributed to econometric theory, panel data analysis, and environmental pollutant modeling.

Education: B.A. in Philosophy and Latin (Marquette University, 1978), M.A. in Mathematics (University of Louisville, 1985), M.Phil. in Statistics (Yale, 1987), and Ph.D. in Statistics (Yale, 1991). Prior to Caltech, he was at Bellcore's Statistics and Economics Research Group (1990–1996).

Research Interests: Asymptotic theory, causal effects estimation in regression models, correlated random coefficient models, and applications to environmental and educational data. His work emphasizes large-sample behavior of estimators and robustness to data contamination.

Publications span econometric theory journals (e.g., Econometrica, Journal of Econometrics) and interdisciplinary topics like network traffic analysis (e.g., IEEE/ACM Transactions on Networking). Notable contributions include methodologies for bounding treatment effects and analyzing biased survey data.

Advising and Grants: While formal advisee names are unspecified, his research collaborations include co-authors such as Jeff Dominitz, Roger Klein, and Martin S. Taqqu. His work has been supported by grants related to econometric modeling and data analysis.