I tried to find the factors you controlled for. You wrote
> (including age, experience, hours worked, size of employer, programming languages, and more)
but the "and more" link didn't give me more insight into what controls you used. The interpretation here is super duper sensitive to what those were, so you have just a straight up list of what your controls were? (before & after feature selection)
I am most curious about geographic controls, which are going to be tricky, especially since you can't just one-hot encode them and throw them into double-LASSO. The association might be as simple as "remote workers more likely to be paid in USD" or something analogous, and I'm trying to determine whether/how you controlled for that.
> (including age, experience, hours worked, size of employer, programming languages, and more)
but the "and more" link didn't give me more insight into what controls you used. The interpretation here is super duper sensitive to what those were, so you have just a straight up list of what your controls were? (before & after feature selection)
I am most curious about geographic controls, which are going to be tricky, especially since you can't just one-hot encode them and throw them into double-LASSO. The association might be as simple as "remote workers more likely to be paid in USD" or something analogous, and I'm trying to determine whether/how you controlled for that.