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those are the "internally" created variables. They are used to create the event-like study estimates. and to identify the effectively treated observations. You do not need to interpret them.
by default, if you use "never" as control group, results will be similar to long2
And, if you have pre-trend problems, there is no way to avoid them. they simply exist
I also met the varlist required error after running estat event. I replaced the .ado files of the jwdid package with the two .ado files (jwdid.ado and jwdid_estat.ado) downloaded from FernandoRios 's website. https://friosavila.github.io/playing...ain_jwdid.html
The issue was solved. I installed my stata packages in D:\stata\ado\plus. By default, the packages can be in C:\....stata\ado\plus.
I am implementing JWDID in gravity setting. I have one minor clarification about the treatment assignment.
In a regional trade agreements database, If a country-pair "AB" first became members of RTA in 2005, and therefore may belong to g=2005 cohort. However, in the dataset of trade flows, when we merge it with RTA dataset, we observe that for given pair AB, the outcome (trade-flows) is availabe only for pre-treatment years, i.,e for years < 2005, we do not have data on outcome for this pair in post-treatment periods, i.e., for years > 2005.
I want to ask, should we put this pair in 2005 cohort or keep it in untreated group (control).
In other words, for pairs with the data on outcome available only in some years in the pre-treatment periods, and missing in post-periods when the pair is treated, should such country-pairs be included in the control group or in the treatmet-cohort when the pairs are treated.
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