Would like to create an event study but I'm trying to make sure I'm creating treatment, post-treat, leads, and lags correctly because my gut feeling says I'm doing something wrong at the very basic.
Code:
**** Min wage change gen treat=0. [ Treat = time * treated ] replace treat = 1 if year>=2015 & (statefip==2 /*alaska*/) replace treat = 1 if year>=2015 & (statefip==5 /*Arkansas*/) replace treat = 1 if year>=2013 & (statefip==4 /*Arizona*/) replace treat = 1 if year>=2015 & (statefip==6 /*California*/) replace treat = 1 if year>=2014 & (statefip==9 /*Connecticut*/) replace treat = 1 if year==2016 & (statefip==8 /*Colorado*/) And I'll create treated variable like the following : treated = ( statefip == 2 | statefip ==5 | statefip== 4 | statefip == 6 | statefip==9 | statefip ==8 ) & !missing(statefip)
In a normal DiD if I have hetergenous timing of treatment like I created myself here, I cannot make post variable like in case of homogenous treatment ( the following command )
Code:
*Create DID components *1. Timedummy gen time = (year>=2016) & !missing(Year)
0 Response to Treatment , Post Treat in case of heterogeneous treatment timing
Post a Comment