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

Consultant to the Firm David Neumark
Brian Kriegler pic
Managing Director Brian Kriegler
David Sharp pic
Managing Director DC Sharp
Laura Ines pic
Consultant Laura Ines
Brad Abbott EconOne Consultant
Consultant Brad Abbott
Charles Mahla pic
Managing Director Charles Mahla


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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.
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NAACP Legal Defense & Education Fund
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Sprenger & Lang, PLLC