Recent comments in /f/dataisbeautiful

MrBookman_LibraryCop OP t1_jbi6ajh wrote

I ran a linear regression model to estimate the % difference in income levels between men and women by occupation based on the variables listed in the next paragraph. The model also includes Unpaid domestic work, but it was insignificant. I then used the model to predict the difference in income levels if all independent variables were equal - this is the equivalised difference in the chart (in blue).

Data used for the graph and linear model are from the Australian 2021 Census of Population and Housing. They are Total personal income (weekly), Occupation at the 4-digit ANZSCO level, Unpaid child care, Level of highest educational attainment, Hours worked and Volunteer Status.

Note that the model has an intercept of -0.018 which is highly significant (p < 6.08e-07), suggesting that there remains a structural difference in mean income levels after accounting for the factors listed above; even if domestic duties, hours worked etc. were all the same, there would still be a difference in income levels due to other factors.

Plot generated in R using ggplot2

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silenceisbetter1 t1_jbhr3jj wrote

Not only that, Executive pay especially in tech has increased every year for a decade on the % of compensation given in equity

There is some merit in my opinion to be willing as the CEO to bet your own earnings on the company and your ability to lead it, and then they profit when their employees do too because as you mentioned equity is almost a given in tech

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Obvious_Chapter2082 t1_jbhazs9 wrote

Most companies incorporate in Delaware for the ease of it and the legal protection, since they have a chancery court for corps

It can help tax-wise, but only with state taxes. And enough states have combined reporting laws at this point that the benefit is pretty thin anyways

In either case, Nvidia’s state taxes here are a very negligible portion of their tax expense

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