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  • DiD regression

    Hi I am interested to see if a particular policy that increases parental income may impact child health for mothers and fathers. So it would be a diff-in-diff model I would be running. Below is my regression model:
    Click image for larger version

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    Where a post is a dummy for period after policy, Treated is a dummy for those who receive the treatment, and X is a vector of parental controls such as age, gender, qualification, etc. Would my above regression be correct if I ran it separately for mothers and fathers, or would I also have to include the is_mother dummy and the interaction term of it in the above regression? Or simply could I run the single regression where I just have a sample of mothers and a separate sample of fathers

    I also wondered whether I should include another vector variable controlling for child characteristics such as age and gender.

    The code for mothers and fathers separate diff in diff regressions are:
    regress child_health post treat (post*treat) mother_age qualification marital status, robust

    regress child_health post treat (post*treat) father_age qualification marital status, robust


    In addition, I was wondering if there may be more than one child in the household, and I would run this regression for each child, so I was wondering if I have to cluster the standard errors or how I would do this.
    Last edited by Lilly Tee; 07 Aug 2023, 08:53.
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