Friends,
I am using panel data set for individuals * years.
Individuals are treated at different years, ranging from 2000 to 2015.
I want to show the effect of being in the treatmentgroup (vs control) using all observations and a normalized time scale (t=-1 , t=0, t=+1).
The controll group has no treatmentperiod obviously, so it cannot have any values of t=-1, t=0 etc.
So is there a neat way of comparing those with treatment in 2007, to the controll in 2007 (but for every year), etc via regression?
using only the ones who have treatment in 2007:
reg Y i.treated##i.year
margins, dydx(treated) at(year = 2000 (1) 2015)) plot (xline(2007))
This produces pretty much what I want, but only for the group with treatment in 2007.
So I need some way of making one of each of these (for every treatment year) and combining them into one regression, to reduce errors and plots.
Thank you very much.
I am using panel data set for individuals * years.
Individuals are treated at different years, ranging from 2000 to 2015.
I want to show the effect of being in the treatmentgroup (vs control) using all observations and a normalized time scale (t=-1 , t=0, t=+1).
The controll group has no treatmentperiod obviously, so it cannot have any values of t=-1, t=0 etc.
So is there a neat way of comparing those with treatment in 2007, to the controll in 2007 (but for every year), etc via regression?
using only the ones who have treatment in 2007:
reg Y i.treated##i.year
margins, dydx(treated) at(year = 2000 (1) 2015)) plot (xline(2007))
This produces pretty much what I want, but only for the group with treatment in 2007.
So I need some way of making one of each of these (for every treatment year) and combining them into one regression, to reduce errors and plots.
Thank you very much.
