The Globe and Mail newspaper is currently running a series of articles titled Power Gap: a data-based investigation into gender inequality in Canadian workplaces. I’m really pleased to see attention and resources being directed towards understanding this issue. To date, the articles are doing a very good job of unpicking why there are more men than women in positions of power in Canadian workplaces, and why men are generally better-paid. But the series also shows how difficult it is to address these imbalances in a substantive way, because of data limitations. It’s hard to solve a problem without fully understanding what’s causing the problem.
The complete explanation of the Power Gap project methodology is paywalled, but to summarize it, the analysis relies on data from “sunshine lists” – lists of public sector employees with an annual salary above a certain level, which most Canadian provincial governments release every year. Because these lists are not consistently formatted across provinces – for example, not all provinces release employees’ full names – the data on the lists had to be combined and then adjusted so the data were comparable.
Also, since the purpose of the Power Gap project was to investigate gender inequality, the employees’ gender had to be added to the data set. Gender data were collected through several different methods, including (more…)