Economics and Statistics Experts in Wage and Hour Litigation

11 Pages Posted: 28 Dec 2019

See all articles by Dwight Steward

Dwight Steward

EmployStats - Economists and Statisticians

Matt Rigling

EmployStats

Date Written: October 7, 2019

Abstract

Complex wage and hour litigation often involves an enormous amount of time records, payroll data, and other related information. Sorting and analyzing the mountain of data from numerous sources can be a colossal and convoluted task. To add to it, there may be gaps of missing employment information that requires some sort of extrapolation or scientifically-backed assumptions to be made in order to assess damages or liability. In this paper, we discuss general wage and hour data management issues, sampling and surveying, and the concept of statistical significance in employment and wage and hour litigation, as well as provide a case study as an example of the use of sampling and surveys in an overtime mis-classification case.

Keywords: Wage and Hour, Sampling, Surveys, Statistics, Economics, Expert, Big Data, Margin of Error

Suggested Citation

Steward, Dwight and Rigling, Matt, Economics and Statistics Experts in Wage and Hour Litigation (October 7, 2019). Available at SSRN: https://ssrn.com/abstract=3465795 or http://dx.doi.org/10.2139/ssrn.3465795

Dwight Steward

EmployStats - Economists and Statisticians ( email )

1920 East Riverside Drive
Ste. A-120 #260
Austin, TX 78741
United States
512-476-3711 (Phone)

HOME PAGE: http://https://www.employstats.com/dwight-steward

Matt Rigling (Contact Author)

EmployStats

1920 E. Riverside Dr.
Suite A-120 #260
Austin, TX 78741
United States

HOME PAGE: http://www.employstats.com

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
12
Abstract Views
90
PlumX Metrics