d vice versa.
are fixed effects models usually used when looking at time-related research questions? If not, could we talk some about most common applications?
d vice versa.
are fixed effects models usually used when looking at time-related research questions? If not, could we talk some about most common applications?
common application of multiple sets of fixed effects, and is commonly known as two-way fixed effects. The regression model for two-way fixed effects looks like:
So fixed effects is establishing a "benckmark" and then observing change while that benchmark is held constant. This makes sense to me, but I still don't totally see how it's different from controlling for things (or is it just controlling for things to a larger degree?)
long list of variables on back doors that are constant within some category and collapsing them to just be that category. Then, controlling for that category.
I understand this concept but really why is this different from a garbage can regression