Month: January 2021

High Praise for EmployStats’ Sampling Course

“It was very relevant!”

“Clearly the presenters were knowledgeable on the subject”

“I look forward to more courses presented by this company.”

The reviews are in, and EmployStats’ course for the Texas State Auditor’s Office was a huge hit with our audience! Our class, “Statistical Sampling for Large Audits” was a crash course in the uses of statistical sampling. We were proud to teach our two-day, all-online course to a full class of 18 auditors who were active and engaged.

The State Auditor’s Office (SAO) is the independent auditor for Texas state government. The SAO performs audits, reviews, and investigations of any entity receiving state funds. To find out more about the Texas State Auditor’s Office, please visit the SAO’s Website.

EmployStats’ principal economist, Dwight Steward, Ph.D., along with Matt Rigling, MA and Carl McClain, MA, were also given high marks on their presentation skills.

EmployStats appreciated the opportunity to work with the SAO and hopes to conduct more presentations in the future. For more on EmployStats, visit our website: Employstats.com!

Evaluating Pay Discrimination in Tech

An article published in the New York Times on December 29, 2020 highlights allegations that female and minority employees are were underpaid compared to comparable male or white counterparts. The article, written by Nathaniel Popper, utilizes internal data from one cryptocurrency startup to compare pay differences between men and women across different job titles in the firm.

The analysis, run by Alexandra Marr, indicated that women were paid an average of $13,000, or 8 percent, less than men at comparable jobs and ranks within the company. Similarly, black employees were paid $11,500, or 7 percent, less than all other employees in similar jobs.

The article cites comparable studies conducted by David Neumark of other large technology firms like Google and Oracle. These analyses were possible due to lawsuits brought by female employees accusing the companies of underpaying women for comparable positions. For example, in his analysis of Oracle, Neumark found that the pay gap between men and women with similar backgrounds and roles was 3.9 percent. Similarly, in the Google litigation, Numark’s expert analysis found a statistically significant pay gap between similarly situated male and female employees.

See here for a copy of David Neumark declaration on the Google case.