Splitting Logs: An Empirical Perspective On Employment Discrimination Settlements
27 Pages Posted: 24 Dec 2015
Date Written: May 1, 2011
Most cases settle, in employment discrimination litigation as elsewhere. Unfortunately, empirical knowledge of settlements remains limited. Data scarcity fuels untested perceptions and, all too frequently, misconceptions about how employment disputes are resolved. This Essay exploits a unique data set of successful settlements in the U.S. District Court for the Northern District of Illinois from 1999-2004 that includes for each case the plaintiffs initial monetary demand, the defendant's offer, and the resulting settlement. We find that in raw constant dollars, final settlements are typically Jar closer to defendant offers than plaintiff demands. After converting plaintiff demands, defendant offers, and final settlements into natural logs, however, the typical settlement splits the difference between plaintiff demand and defendant offer. We also find that settlement amounts rise if a trial date is set for a case. Finally, results from three-stage least squares models-that plaintiff demands influence defendant offers that, in tum, influence final settlement amounts-provide a glimpse into the structure of employment discrimination settlements.
Keywords: employment discrimination, U.S. District Court, settlements
Suggested Citation: Suggested Citation