[FernandoRios]

Different methods all together
and difference can arise on how perfect prediction is handled
too many to type them right now
One thing you can do is check propensity scores for the controls

[Awais Farid Khan]

FernandoRios Thanks for your reply. I will check that...I am on an inner debate which to prefer efficiency or precision based on my data.....because the outcomes for all methods are same without covariates but differ when covariates are added.....just seraching for plausable justification for the use of methods....i will be obliged if you can point some of the pitfalls as signs of imperfect predictions.

My second question was about CSDID and CSDID2...I am prefering CSDID2 as it allows "pretrend" and "honestdid" options....

This is with CSDID

Difference-in-difference with Multiple Time Periods

Number of obs = 353
Outcome model : weighted mean
Treatment model: stabilized inverse probability

Coefficient Std. err. z P>z [95% conf. interval]

ATT 4.917568 1.705818 2.88 0.004 1.574226 8.26091

Control: Not yet Treated


this is with CSDID2

Difference-in-difference with Multiple Time Periods
Outcome model : weighted mean
Treatment model: stabilized inverse probability
------------------------------------------------------------------------------
| Robust
| Coefficient std. err. z P>|z| [95% conf. interval]
-------------+----------------------------------------------------------------
SimpleATT | 5.107128 1.79526 2.84 0.004 1.588483 8.625772
------------------------------------------------------------------------------

Is this difference within acceptable range that we can expect....your comments will be most appreciated.

[FernandoRios]

It really depends on collinearity
csdid depends.on stata approach to detect and drop collineae variables
cadid2 uses a different method.
That suggest your specificat9may need addressing

[Awais Farid Khan]

@FernandoRios ....it there a way to use pretrends and honesdid commands after CSDID?...

after csdid-pretrends
Coefficient vector must be at least # pre + # post

after csdid - honestdid
Coefficient vector must be at least # pre + # post

[Awais Farid Khan]

I resolved the issue how to use csdid , pretrends and honestdid together...thanks