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  • csdid coefficients

    Hi

    Long term follower of this forum. First time to post.

    I am working on an evaluation project of a health programmer using csdid. I found difficult to interpret the estimated ATT coefficient.

    My outcome is a dummy variable (hospitalization or not), the coefficient was say -0.02. Is this probability - the same as Linear Probability Model? Also is it possible to show odds ratios instead rather than coefficient? What about count variables? If so, how?

    Regards
    Bo

  • #2
    You are correct
    yhe coefficient is similar to the interaction in a linear probability model
    thus, no, you can’t get odds ratios

    Comment


    • #3
      My 2023 Econometrics Journal paper shows how to use logit and Poisson regression. I need to know more. Is this panel data with staggering?

      Comment


      • #4
        True
        if you change csdid with jwdid
        And add the option method(logit)
        you will get the probability which could be transformed into odds ratios

        Comment


        • #5
          Originally posted by Jeff Wooldridge View Post
          My 2023 Econometrics Journal paper shows how to use logit and Poisson regression. I need to know more. Is this panel data with staggering?
          Thanks you so much for replying to this. I am a fan of your textbook. My econometrics is basic. I will try to give more details.

          We have 20 quarters of data of 5000 patients. Treatment groups started at different time say from quarter 7 to 14, then quarter 16-20 is follow up period. It is a social prescribing intervention- so we assume if someone is on the program then they are always on. Thus, I think this might be a panel data with staggering.

          Would this work?

          Comment


          • #6
            Originally posted by FernandoRios View Post
            True
            if you change csdid with jwdid
            And add the option method(logit)
            you will get the probability which could be transformed into odds ratios
            Thanks very much. I will take a look.

            Comment

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