| Ahhh more political blather masquerading as science, by authors who apparently are ignorant of multi-variate analysis, given that they quote the debunked idea of a gender pay gap. Uhhh... Politically biased much? Lol. Yeah, because Political Bias is the pinnacle of empirical analysis /s >.< LOL I see no actual data or methodology in the summary?/article of the study -- https://www8.gsb.columbia.edu/articles/node/733/like-daughte... Does anyone have a link to anything on the methodology or quantitative data? Sounds dubious at best. Probably the same quality as studies such as those mentioned here: "Hoaxers Slip Breastaurants and Dog-Park Sex Into Journals"
https://www.nytimes.com/2018/10/04/arts/academic-journals-ho... ____ From the first link above (Colombia university article about the study) we see an already debunked statistic, right in the intro: >"The gender wage gap is a well-documented, persistent, and worldwide phenomenon wherein women earn, on average, an estimated 9 to 18 percent less than men who have the same job descriptions and equivalent education and experience. " Anyone who has taken a statistics course understands that you can't simply explain the situation without factoring in differences between the genders' approach to work, education, skills, and impetus to build resources (i.e. males across animal species have an ingrained purpose/instinct to impress females via resource accumulation. Females do not have this same purpose/instinct). A comparison of a pay gap isn't as simple as an "average" which involves one factor (gender). It's a multivariate analysis-- multiple factors are involved in terms of why one group of people make more than another. Sure, factor in gender. But don't forget: years spent on education. years of experience. specific skill sets & their value in the economy. age. intelligence. disability. amount of children per family. etc. |