How to Lose a Wage and Hours Case: Statistics, Sampling and their Impact on Wage and Hour Decisions

Join us to hear more about:
How to avoid fundamental problems with statistical analysis involving sampling and inference in labor and employment litigation. The presentation will pay special attention to the statistical issues, including some that have been raised in the Duran matter as well as other cases. It will focus on the judges’ findings in recent wage and hour matters. Issues to be discussed will be:

  • Failing to ensure that a sample is drawn from the correct population
  • Improperly coding the sample results which invalidates a statistical analysis
  • Incorrectly drawing inferences about observations outside the population from which the sample is derived
  • Biased assumptions about the distribution of violations

Join Dr. Audrius Girnius, Senior Economist at Advanced Analytical Consulting Group, Inc. (AACG), as he discusses how to properly conduct a sampling analysis, highlights the pitfalls that any sampling analysis can encounter, and discusses the fundamental problems with the statistical analysis conducted by the Plaintiffs’ experts in recent wage and hour matters. He will also highlight various judges’ comments and concerns on a variety of topics.

About the Presenter: Dr. Audrius Girnius has studied wage and hour issues involving manufacturers and telecommunications service providers.

Prior to joining Advanced Analytical Consulting Group (AACG), Dr. Girnius was a Senior Manager / Director at Grant Thornton and Huron Consulting Group. He earned a PhD in Economics from The University of Chicago and has refereed for the Journal of Political Economy. He also has presented at the National Bar Association Labor and Employment Law Conference.

Contact our Experts

Daniel S. Levy, PhD
National Managing Director
617 901 6344
Profile | E-mail

Stan Panis, PhD
213 784 6400
Profile | CV | E-mail

Audrius Girnius, PhD
Senior Economist
312 953 8243
Profile | CV | E-mail

For More Information Visit our Labor, Employment, Discrimination and Statistics page.