David HirshbergAssistant Professor | QTM

Dr. Hirshberg joined the Department of Quantitative Theory & Methods at Emory University as an Assistant Professor in Fall 2021. He and Dr. Ruoxuan Xiong run the annual QTM departmental speaker series.

His research focuses on methods for estimating causal effects from observational studies and experiments. He also is actively developing R packages synthdid and grf. Prior to joining Emory, David Hirshberg was a postdoctoral fellow at Stanford University working with Susan Athey, Guido Imbens, and Stefan Wager of Stanford Graduate School of Business. He completed his Ph.D. studies in the Statistics Department at Columbia in 2018.

• Ph.D., Statistics, Columbia University, 2018
• B.S., Mathematics and Computer Science (double major), Brown University, 2008

Dr. Hirshberg works in causal inference, semiparametric statistics, and high dimensional statistics. He is primarily interested in developing methods to evaluate policy changes and health interventions.

Hirshberg, D.A. (2021). Least squares with error in variables. Preprint. [arXiv]Hirshberg, D.A., Maleki, A., & Zubizarreta, J.R. (2021). Minimax linear estimation of the retargeted mean. Preprint. [arXiv]

Arkhangelsky, D., Athey, D., Hirshberg, D.A., Imbens, G.W. & Wager, S. (2021) Synthetic Difference in Differences. Under revision at American Economic Review. [arXiv][slides][github]

Hadad, V., Hirshberg, D. A., Zhan, R., Wager, S., & Athey, S. (2021). Confidence intervals for policy evaluation in adaptive experiments. Proceedings of the National Academy of Sciences, 118(15). [arXiv][publisher site]

• QTM 220: Regression Analysis
• QTM 385: Non-Parametric Statistics