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David HirshbergAssistant Professor


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

Starting in Fall 2021, Dr. Hirshberg will be onboarded as an Assistant Professor in the Department of Quantitative Theory & Methods at Emory University.


  • 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.

Select Publications

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 Sciences118(15). [arXiv][publisher site]