Gibbons 034

Dr. Charles 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 Ph.D. in economics and an M.A. 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.

Representative Engagements
Quantile Regression for Peak Demand Forecasting
July 31, 2014
Published on Social Science Research Network
Broken or Fixed Effects?
July 2014
Charles Gibbons, Juan Carlos Suárez Serrato, and Michael B. Urbancic
Published in the National Bureau of Economic Research
Quantile Regression for Peak Demand Forecasting
July 1, 2014
Prepared by The Brattle Group, Inc.
The Impact of Revenue Decoupling on the Cost of Capital for Electric Utilities: An Empirical Investigation
March 20, 2014
Michael J. Vilbert, Joseph B. Wharton, Charles Gibbons, Melanie Rosenberg, and Yang Wei Neo
Prepared for The Energy Foundation
A Markov Chain Approach to Forecasting Enrollments
June 28, 2012
Presented at the 25th Annual CRRI Western Conference, Monterey, CA