Hi,
I’m relatively new to Stata and difference-in-differences methods, and I’m trying to understand how to implement DID in Stata. I want to estimate how the introduction of a policy affects outcomes differently across demographic groups (e.g., race). My data is at the individual level across multiple states, with each state introducing the policy at different times.
Given this setup, I believe a staggered DID model is appropriate, but I’m having trouble figuring out how to implement it in Stata.
What Stata command should I use to estimate the effects of the policy introduction, accounting for both the staggered adoption and the varying impacts across demographic groups?
I would greatly appreciate any advice or guidance on how to structure this analysis in Stata.
Thank you!
I’m relatively new to Stata and difference-in-differences methods, and I’m trying to understand how to implement DID in Stata. I want to estimate how the introduction of a policy affects outcomes differently across demographic groups (e.g., race). My data is at the individual level across multiple states, with each state introducing the policy at different times.
Given this setup, I believe a staggered DID model is appropriate, but I’m having trouble figuring out how to implement it in Stata.
What Stata command should I use to estimate the effects of the policy introduction, accounting for both the staggered adoption and the varying impacts across demographic groups?
I would greatly appreciate any advice or guidance on how to structure this analysis in Stata.
Thank you!
