Hi,
I am trying to see whether household savings have changed after implementation of a policy in treated states. For this I am thinking of running a diff-in-diff regression, comparing the border districts. I have monthly data for household savings of 2 years, 1 year pre-period and 1 year post-period. Should I use only district variable for clustering or should I use both district and month?
If yes, then which of the two commands should I use -
reghdfe savings interaction treatment post, absorb(district month) cluster(district month)
or
egen district_month = group(district month)
reghdfe savings interaction treatment post, absorb(district month) cluster(district_month)
Thank you.
I am trying to see whether household savings have changed after implementation of a policy in treated states. For this I am thinking of running a diff-in-diff regression, comparing the border districts. I have monthly data for household savings of 2 years, 1 year pre-period and 1 year post-period. Should I use only district variable for clustering or should I use both district and month?
If yes, then which of the two commands should I use -
reghdfe savings interaction treatment post, absorb(district month) cluster(district month)
or
egen district_month = group(district month)
reghdfe savings interaction treatment post, absorb(district month) cluster(district_month)
Thank you.