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Yes the results include only the U.S. but do not include more granular controls for regions within the U.S. So it's possible that this is biasing the results.

That said, I do control for size of company, which often correlates strongly with region (both big tech companies and startups tend to employ most of their workforce from a certain region, i.e. west coast). I acknowledge this is imperfect though



Bit of an understatement. Doing a study about remote developers and substituting geography with a proxy. At least for me it would seem really obvious we are disregarding a main factor. What are the numbers if we control for location?


Awesome analysis. Thanks for sharing this @whoisnnamdi

> 10,355 U.S. based individuals employed as software engineers on either a part-time, full-time, or independent basis

I'm unclear how you're controlling for employment-type pay differences, which can be significant. Independent (1099) workers pay 100% of U.S Federal Income Tax, whereas Employees pay 50%. (Same thing for extra costs, like health insurance, retirement plans, etc.)

Edit: I suppose size of employer might be one way to do it.


Thank you!

Yes this is an important point. I don't mention it there, but I do control for full-time vs part-time vs. self-employed in my analysis.

I'll cover this in a coming post, but full-time and self-employed developers make very similar amounts on average, with a slight benefit for full-time employed.

I cannot control for the tax effects unfortunately, as I have no data on taxes paid.


> I cannot control for the tax effects unfortunately, as I have no data on taxes paid.

In that case I suggest separating the "Independent contractor, freelancer, or self-employed" group from the , "Employed Full Time" and "Employed part-time" groups. [1] The way that contractors are compensated is significantly different from how employees are compensated.

[1] https://insights.stackoverflow.com/survey/2019#work-_-employ...




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