There are a number of ways to do that. The UCASS system, of course, is probably the.... Statistics Canada is authoritative on publicly disclosed data. Also, I'm in Alberta, so we have public transparency data.
There are a number of studies, some of which I highlighted, where people do comparative data analysis. What I also highlighted in my comments is that there are parts of the data that are discretionary and we might not be able to track. For example, anything that's, say, a market supplement might not be revealed publicly, or if there is something that might be a retention offer, which is made on a discretionary basis, those are generally made to men more than women, as an example, because men are more likely to seek jobs elsewhere and therefore need to be retained. That also changes the factor. Also, if you're a woman, things like maternity leave impact your income. Whether one's family-friendly or...child care also impacts one's income over time.
The data on racialized women is so persistent across studies—Statistics Canada, sociologists, economists, the Conference Board of Canada, Catalyst Canada—that one has to take seriously the need for intersectional analysis.
I'm making it clear that it's needed, but it's not sufficient.