Jeff draws on a wealth of experience as a professor, researcher, project leader, expert witness, co-founder of a successful start-up, and leader of the analytics group for the Philadelphia Eagles. He specializes in determining the limits of what can be learned from available data, communicating actionable findings based on the data, and designing innovative methods to collect and analyze new data that will create a competitive advantage. Jeff’s academic research, including publications in the top-tier journal Review of Economic Studies and the Journal of Econometrics, focuses on the application of statistical decision theory to make sample design choices regarding the quality versus the quantity of data to be collected. His research findings have been cited in hundreds of publications, including leading journals of economics, econometrics, statistics, and survey methods, as well as a decision of the U.S. Court of Appeals for the Seventh Circuit.
- “Using Metrics of Potential Misreporting to Assess the Extent of PPP Fraud: A Comment on the University of Texas Study”
- “Minimax-regret sample design in anticipation of missing data, with application to panel data” Journal of Econometrics (joint with Charles F. Manski)
- “More Data or Better Data? A Statistical Decision Problem” Review of Economic Studies (joint with Charles F. Manski)