Dr. Gibbons specializes in applying sophisticated econometric and statistical models to legal, regulatory, and policy issues.

His work has been used in a variety of litigation matters, including models of mortgage delinquencies, forensic analysis of product defects, and impacts of an environmental accident on outdoor recreation. He has also conducted conjoint surveys to calculate the value that consumers place on features of products and developed models for forecasting electricity sales and peak demand for utilities. His work has been used for class certification, liability determination, and damage calculations.

Additionally, Dr. Gibbons was a Lecturer at the University of California, Berkeley, where he most recently taught a graduate-level course in probability and statistics. He received a PhD in economics and an MA in statistics from the University of California, Berkeley. His dissertation proposed new methods in applied econometrics and a theory of competition for online advertising auction platforms.


University of California, Berkeley, PhD in Economics and MA in Statistics
Cornell University, BA in Economics and Government