Hi:
I am trying to estimate the effect of a policy using the dynamic DID model by Callaway and Sant'Anna using the CSDID package. I have individual-level cross-sectional data. The policy I am investigating affects individuals living in urban areas (I have an indicator for urban) who were born after the year 1990 (sample contains individuals born between 1975 and 2000). I have tried the following code:
. where first_treat=1 if living in urban area and born after 1990. However, I have realized that this code would only work with proper panel data setup, with only one observation per ID per period. Does anybody know how I can modify the above code for individual level data with many observations per urban/rural id per year of birth?
I am trying to estimate the effect of a policy using the dynamic DID model by Callaway and Sant'Anna using the CSDID package. I have individual-level cross-sectional data. The policy I am investigating affects individuals living in urban areas (I have an indicator for urban) who were born after the year 1990 (sample contains individuals born between 1975 and 2000). I have tried the following code:
Code:
csdid years_schooling, ivar(urban_rural) time(YOB) gvar(first_treat) method(ipw)
