CAROLE LEVINE | June 1, 2018
We probably should not be surprised that an industry has been built to support “rounding down” the wages of low paid workers, but there’s evidently a large market for it. Perhaps United Way’s new ALICE initiative should pay attention to this kind of corporate behavior.
It’s all pretty simple. You clock into your job, and the system is set to round the time up or down (sometimes in your favor, sometimes not) if you are a few minutes early or you stay late. The system is set to deduct time for your breaks and your lunch, even if you are not able to take that time because of a crisis or a demanding work project. You don’t get paid for that time worked. And now we know that companies are deducting these hours purposefully.
University of Oregon Associate Professor of Law Elizabeth C. Tippett documented this first and co-authored a 2017 study on timekeeping software and a follow-up article on wage theft. Now, she writes in The Conversation about how employers are using software for the purpose of “wage theft” and are cheating workers out of millions of dollars of wages they have worked and should have been paid for.
“Wage theft” is a shorthand term that refers to situations in which someone isn’t paid for the work. In its simplest form, it might consist of a manager instructing employees to work off the clock. Or a company refusing to pay for overtime hours.
A report from the Economic Policy Institute estimated that employees lose $15 billion to wage theft every year, more than all of the property crime in the United States put together.
That report, however, focused on workers being paid less than the federal or state minimum wage. Our 2017 study, which was based on promotional materials, employer policies and YouTube videos, suggested that companies can now use software to avoid paying all sorts of hourly workers.
Tippett focuses on two main areas of digital wage theft by employers: rounding and automatic break deduction. She did a search to see if there were legal cases brought to reclaim lost wages to these two causes, expecting to find only a few. To her surprise, she found hundreds and hundreds of legal opinions. To quote her from the article, “The study’s methodology does not support quantitative inferences about how often digital wage theft occurs or how much money US workers have lost to these practices over time. But what I can say is that this is not a theoretical problem. Real workers have lost real money to these practices.”