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  • Margins interpretation after a difference-in-differences in a non-linear model

    Hi all,

    I am new to using the margins in Stata and non linear models for a difference-in differences analysis. I need help to verify I am using margins correctly and how to interpret margins results in this context. I have two groups (treatment and control) and three periods (pre,post1, and post2)

    Code:

    qui: svy, subpop(analytic2): twopm nvis_psychamb i.treat##i.period $xvar, firstpart(logit) secondpart(glm, f(gamma) link(log)) baselevels
    eststo px :margins i.treat#i.period, subpop(analytic2) coeflegend post

    nlcom (pre : _b[0.treat#0.period]) ///
    (post1: _b[0.treat#1.period]) ///
    (post2: _b[0.treat#2.period]) ///
    (d1: _b[0.treat#1.period] - _b[0.treat#0.period]) ///
    (d2: _b[0.treat#2.period] - _b[0.treat#0.period]) ///
    , post
    eststo pn1

    est restore px
    nlcom (pre : _b[1.treat#0.period]) ///
    (post1: _b[1.treat#1.period]) ///
    (post2: _b[1.treat#2.period]) ///
    (d1: _b[1.treat#1.period] - _b[1.treat#0.period]) ///
    (d2: _b[1.treat#2.period] - _b[1.treat#0.period]) ///
    , post
    eststo pn2

    est restore px
    nlcom (DD1: (_b[1.treat#1.period] - _b[1.treat#0bn.period]) - (_b[0bn.treat#1.period] - _b[0bn.treat#0bn.period]) ) ///
    (DD2: (_b[1.treat#2.period] - _b[1.treat#0bn.period]) - (_b[0bn.treat#2.period] - _b[0bn.treat#0bn.period]) ) ///
    , post
    eststo pn3

    esttab pn1 pn2 pn3, b(3) ci(3) ///
    mtitles("Control" "Treatment" " ")

    Here is my Stata output

    Click image for larger version

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