I am looking at the effect of a policy on female employment. The policy was implemented in different states at different points in time. The data I have is at the state level for time-period 2000-2020. There are some states that were never treated.
I am trying to use the csdid command but there is an issue with interpretation of the results. The policy is such that it can have an impact overtime. So, if a state received treatment in 2005, I am interested in effects one year after policy, two years after policy etc.
The two questions I have are:
First, for relative time 1: what is the treatment and control group? How is the aggregation of effects happening? As per my understanding, the treatment group should average “female employment” in one year after the policy implementation in every state that was ever treated. But what is the control group averaging?
Second, I have detailed data at state*time*industry level. Currently I am just averaging that data to state*time to run csdid. Is there any way to use industry level data and have industry fixed effects?
I am trying to use the csdid command but there is an issue with interpretation of the results. The policy is such that it can have an impact overtime. So, if a state received treatment in 2005, I am interested in effects one year after policy, two years after policy etc.
The two questions I have are:
First, for relative time 1: what is the treatment and control group? How is the aggregation of effects happening? As per my understanding, the treatment group should average “female employment” in one year after the policy implementation in every state that was ever treated. But what is the control group averaging?
Second, I have detailed data at state*time*industry level. Currently I am just averaging that data to state*time to run csdid. Is there any way to use industry level data and have industry fixed effects?
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