Hi,
I have a question that's slightly more conceptual than related to direct stata output. I understand that in a probit model the coefficients in the stata output by themselves are meaningless and that it is the margins output that should be interpreted. I am running a probit differences-indifference model and wanted to know what one should look at when trying to establish the parallel trends pre-treatment. In a linear probability model, I would've plotted the average values of the residuals for the treatment and control group to establish parallel trends, but I'm not sure if that's meaningful in a probit model.
Any guidance will be much appreciated.
Thanks,
Karishma
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