3 Matching Annotations
  1. Feb 2023
    1. 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?)

    2. 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