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  • how to draw a graph to compare the mean of treatment and control groups with relative years

    Dear all,

    I'm doing a staggered DID where the firms receive treatment in different years. My sample period is 2010-2019, and a firm could receive treatment in any one of the years (a firm would only be treated once in the sample period). I want to draw a graph to compare the mean of treatment and control groups, I have searched on stata and saw some relevant posts, such as https://www.statalist.org/forums/for...nce-estimation and https://www.statalist.org/forums/for...end-assumption. However, in their posts, it seems firms are treated in a single year, there is a clear absolute year, such as 1945 in the first link. In my context, I need relative years. I have created some relative year dummies
    Code:
    gen distance = Year - eventyear
    
    tab distance, missing
    
    replace distance = -3 if distance < -3
    replace distance = 2 if distance > 2
    
    ***generate year -3 -2 -1
    forvalues i=3(-1)1{
        gen d_`i'=(distance==-`i')
    }
    
    ***generate year 1 2
    forvalues i=1(1)2{
        gen d`i'=(distance==`i')
    }
    
    ***generate year 0
    gen d0=(distance==0)
    However, I don't know how to make it a single variable, say call it relative_year, and put it in the two way plot, the code would be something like this
    Code:
    collapse (mean) ind_adj_subsidy, by (treat year)
    
    reshape wide ind_adj_subsidy, i(year) j(treat)
    
    graph twoway connected ind_adj_subsidy0 ind_adj_subsidy1 year, sort
    where ind_adj_subsidy is my outcome variable, treat indicates whether the firm is being treated, year is in absolute years (e.g. 2010, 2011...). I would like year to be substituted with relative_year, how can I do this? What I'm most confused about is, control firms are not treated, so they don't have eventyear, then I cannot calculate distance = Year - eventyear, so I cannot have relative year dummies for control firms. How to solve this problem?

    Thanks a lot in advance.
    Last edited by Yun Cheng; 10 May 2022, 20:04.
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