In fact, it's not that they don't have a significant impact. It's that we are able to explain the pay gaps by age and number of children. To give you an idea, we measure the percentage attributable to age, which, according to some results, contributes to 5.48% of the gap. So we're able to explain a portion of the 4% to 6% gap between men and women by a difference in age between men and women.
We are able to explain, for example, the 0.27% difference due to administrative bonuses. We're able to explain the 0.56% difference based solely on whether or not we did the consultation for which we received professional fees. It's not that these factors don't have an impact. Rather, we're able to explain the wage gap by the differences between men and women for each of these variables.
I'd be happy to share the results of the regressions with your constituency office.