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Their own data shows that education level is much more significant than being a woman in predicting if someone works from home.
by CyberDildonics 3y ago
Their own data shows that education level is much more significant than being a woman in predicting if someone works from home.
- blitzar 3y agoIts hard to stack a shelf, wait a table, build a house, put out a fire or man the oil rig pipes from home
- jleyank 3y agoYeah, but it's real easy to write code, be a radiologist, manage money, ... I really doubt that most of the HN readers would be able to deal with that fire or oil rig.
- 082349872349872 3y agoAre they talking about predictive value in 2022, or about the change between 2018 and 2022? I see the following change in WFH gaps: delta(women/men) delta(degree/no degree) 2018 0% 19% 2022 13% 30% (Note: the level of education lines given are not quartiles. Less than high school is 9%, high school 28%, some college or associate's 25%, and bachelor's or higher 37%. We have to split that "some college or associate's" bucket into both higher and lower halves, so assuming [poorly!] we can do so linearly and that educational attainment is roughly constant over 2018-2022, we get: 52% no degree 47% any degree and WFH women men degree no degree 2018 23 23 34 15 2022 41 28 49 19 (educational attainment from https://www.census.gov/newsroom/press-releases/2023/educational-attainment-data.html#:~:text=highest%20level%20of%20education,bachelor's%20degree https://www.census.gov/newsroom/press-releases/2023/educatio... )