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Researchers estimate that each additional centimeter of height is associated with a 1.30% increase in annual income. (lemmygrad.ml)
submitted 2 years ago by to c/chapotraphouse@hexbear.net
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cross-posted from: https://lemmygrad.ml/post/3768443

Researchers estimate that each additional centimeter of height is associated with a 1.30% increase in annual income.

https://www.forbes.com/sites/traversmark/2020/04/16/your-height-has-a-big-impact-on-your-salary-new-research-seeks-to-understand-why/

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[–] 1 point 2 years ago* (3 children)

The purpose is to measure the effect of a single variable, so you make sure to correct for all other variables. For example, to measure the effect of height you might compare white men only against white men, black women only against black women, etc.

In a study measuring the gender pay gap, they would be correcting for variables other than gender.

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  • [–] 1 point 2 years ago* (last edited 2 years ago) (2 children)

    Is that what "this estimation assumes other factors associated with earning potential — for instance, gender, age, years of schooling, and location — are held equal," means? Cuz that's not what it sounds like. Assuming things are equal isn't this statistical matching thing you are talking about

    Edit: I found the study so I'm trying to figure out how these other factors are controlled for.

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