Hi. I have 48 weeks of week-level data in an unbalanced panel dataset which tracks the effect of a telemedicine intervention on Covid health outcomes across different states. The telemedicine has a staggered/phased rollout across states starting from week 4 of the data. Not all states were treated, and hence, I have a treatment group and a control group. My goal is to look at the effect of the intervention on the health outcomes through an event-study design, and I need to verify the parallel trends assumption.
Unfortunately, I am struggling to find the right code to run to test the parallel trends assumption with a staggered intervention rollout. Could any of you please give me a hand? I have a treatment variable which turns on (==1) in different weeks across the treated states based on the week in which the treatment started.
Any help would be GREATLY appreciated.
Unfortunately, I am struggling to find the right code to run to test the parallel trends assumption with a staggered intervention rollout. Could any of you please give me a hand? I have a treatment variable which turns on (==1) in different weeks across the treated states based on the week in which the treatment started.
Any help would be GREATLY appreciated.