Comment by malvosenior
7 years ago
It's because even though there is no data to support the wage gap, it's very unpopular to question it. Christina Hoff Summers is a pioneer in the field of gender equality and has paid a huge price by actually investigating these issues. It's a risky position to take in today's political climate so not many have followed her footsteps.
>there is no data to support the wage gap
This is false.
https://www.epi.org/publication/what-is-the-gender-pay-gap-a...
>it's very unpopular to question it.
Also false, it's very popular (and almost cliché) to dismiss it.
>Christina Hoff Summers... has paid a huge price by actually investigating these issues.
And what price would that be? She seems extremely successful.
http://www.aei.org/scholar/christina-hoff-sommers/
From your link:
"$3.27 less per hour than men. The median hourly wage is $15.67 for women and $18.94 for men.
The gender wage gap is a measure of what women are paid relative to men. It is commonly calculated by dividing women’s wages by men’s wages, and this ratio is often expressed as a percent, or in dollar terms. This tells us how much a woman is paid for each dollar paid to a man. This gender pay ratio is often measured for year-round, full-time workers and compares the annual wages (of hourly wage and salaried workers) of the median (“typical”) man with that of the median (“typical”) woman; measured this way, the current gender pay ratio is 0.796, or, expressed as a percent, it is 79.6 percent (U.S. Census Bureau 2016). In other words, for every dollar a man makes, a woman makes about 80 cents."
It's meaningless to compare different positions pay to each other. "Typical" men vs "typical" women doesn't tell us anything about potential discrimination.
Oh, FFS, c'mon.
There's over 12,800 words in the article and 67 citations. It includes sections such as "How do work experience, schedules, and motherhood affect the gender wage gap?", "How do education and job and occupational characteristics affect the gender wage gap?", "Does a woman’s race, age, or pay level affect the gender gap she experiences?", and "What role do 'unobservables' like discrimination and productivity play in the wage gap?" yet you choose to ignore all of it and argue against something from the introduction that's expanded upon further down.
You're arguing on bad faith here.
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