Practice Areas

Discrimination: Racial, Gender, Age

Discrimination cases often require sophisticated statistical analyses of complex personnel databases, which in turn require intensive data processing as the first step for analysis. We are well-versed in the data processing programs needed to accomplish the task and we possess extensive experience solving complicated data puzzles.

Once the data issues are resolved, the work of determining appropriate statistical methods and model specifications begins, grounded in economic theory and informed by the facts of the case at hand. We often use regression techniques to determine whether patterns of gender-, race-, and/or age-related employment outcomes are evident in the data. As economists, we use a host of econometric tools to comprehensively analyze the available information.

Ultimately, the results of our analyses must be clearly communicated to our clients, the judge, and the jury to be useful. Fortunately, statistical analysis, at its core, is based on simple concepts of chance that most people encounter regularly. One only needs to help make the connection. We excel in our ability to make our work understandable to any audience, in any venue.

Our Team

Brian Kriegler pic
Managing Director Brian Kriegler
David Sharp pic
Managing Director DC Sharp
Charles Mahla pic
Managing Director Charles Mahla

Clients

Anwyl Scofield & Stepp
Calvo & Clark, LLP
Christopher H. Whelan, Inc.
Cohen Milstein Sellers & Toll PLLC
EEOC-Equal Employment Opportunity Commission
Legal Aid Society, Employment Law Center
Littler Mendelson
McGuinn, Hillsman & Palefsky
Mehri & Skalet, P.L.L.C.
Minami Tamaki, LLP
NAACP Legal Defense & Education Fund
Outten & Golden, LLP
Relman, Dane & colfax, PLLC
Sanford Wittels & Heisler, LLP
Seyfarth Shaw
Sprenger & Lang, PLLC