https://freakonomics.com/podcast/what-can-uber-teach-us-about-the-gender-pay-gap/The gender wage gap refers to the fact that men make more money than women on average.
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The great thing about this study is that the Uber algorithm is totally and indisputably gender blind. The computer just records time of journey, length of journey, time of day, etc. What the driver gets paid cannot depend on sex.
20% of the pay gap is due to what trips or routes the driver opts for. Some tend to be more lucrative than others. For example, trips to an airport are good payers. Men tend to optimise on more lucrative routes.
30% of the pay gap is experience. Uber drivers have a high turnover, but higher for women. So men gain more experience from having done the job longer. This is important because it takes experience to learn what routes, times, etc pay best. The evidence is that both sexes learn at the same rate – but men stick at it longer so end up more canny.
The remaining 50% of the pay gap is…..wait for it…..men do more work per hour. The data shows that by driving just a couple of percent faster on average men fit in more trips per hour.
Looks like the wage gap was always a lie.
So, why are we letting women get most of the welfare $'s even though they pay no taxes?