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P-value for pre-test of parallel trends assumption = 0, dynamic aggregation of ATTs not below p-val threshold pre-0 event time #186
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Hi @emmiobara, will you post here or email me a screenshot of the estimated ATT(g,t)'s that you are getting. Thanks, |
Hi @bcallaway11 , I've sent you a screenshot of the output via email. Emmi |
Hi to both of you, were you able to sort out this issue? I'm experiencing the same issue and would like to be able to get the actual p-values for pre-trends... Thanks a lot in advance! Best, |
Hi Anne, I was not able to figure out this issue. Unfortunate, but I'm weirdly glad to see that this isn't just an issue with our data. Best, |
Hello, I wanted to follow-up on this issue as well. My team is working on a program evaluation that involves staggered treatment timing and we've seen some results where the P-value for pre-test of parallel trends assumption = 0. Does that mean that there's an error going on somewhere/we should not trust the regression output or is it just a very small p-value? I'm happy to provide additional information if that would be helpful, thanks! Best, |
Hello everyone, |
Hello,
We're using the did package and the output of the p-value of the Wald statistic for pre-testing the parallel trends assumption = 0 in many of our analyses. However, the dynamic aggregation of the ATTs does not show any of the event times pre-zero as statistically significant. The summary of the group-time ATEs also do not show any of the pre-treatment periods as statistically significant. In addition, all of our plots show the confidence intervals of the pre-zero periods crossing 0. We have checked the coding of the group and time variables and they seem to fit the required data structure.
Any ideas as to why the p-value for the pre-test of parallel trends is 0?
Thanks!
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