Closed avila closed 2 weeks ago
Hi Marcelo you are quite correct. e(sample) does not store anything after csdid2. It is not on purpose, but by design. I have not yet figured out what would be the best way to keep track of the samples and subsamples that are used in CS. For CSDID its easy, because each observation is a row, and thus the influence functions, samples, etc, are easy too keep track of. in csdid2, everything is just separate datasets, with no easy way that i came up with to keep track of the Sample. Fernando
On Sat, Jan 13, 2024 at 12:12 PM Marcelo R. Avila @.***> wrote:
I was moving my analysis to csdid2 and was very happy with the gain in speed. What was taking half a minute, now is done in 3 or 5 seconds. Quite impressive.
One thing that I am missing is the e(sample) functionality. Currently, (! v1.21) e(sample) returns only 0. in csdid (! v1.72 by FRA. Drops always treated) it works as expected.
image.png (view on web) https://github.com/friosavila/stpackages/assets/31955632/16605e07-615f-4624-9aec-5f3adaf723d7
Is that something that cannot be implemented due to the mata usage or just a bug? If I can be helpful in debugging it, please let me know how.
Best, Marcelo Replication syntax
frause mpdta, clear replace lemp = . if year==2006 & countyreal==55137 / just to make sure sample is not full /
qui csdid2 lemp, ivar(countyreal) tvar(year) gvar(first_treat) gen smp2 = e(sample) fre smp2
qui csdid lemp, ivar(countyreal) time(year) gvar(first_treat) gen smp1 = e(sample) fre smp1
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Thank you for your quick answer. So there is currently no (easy) way of knowing the number of observations used in the estimation with csdid2?
By the way, as a sidenote, I first got a little confused with the versioning of csdid2
, since they are still in version 1.xx.
. which csdid2
/home/avila/ado/plus/c/csdid2.ado
*! v1.21 Allows for treatvar
*! v1.2 Allows for Anticipation
...
Might be more intuitive to bump the version to 2.x
.
Again, thank you for your attention to this and maintaining such packages!
I was moving my analysis to csdid2 and was very happy with the gain in speed. What was taking half a minute, now is done in 3 or 5 seconds. Quite impressive.
One thing that I am missing is the e(sample) functionality. Currently, (
*! v1.21
) e(sample) returns only 0. incsdid
(*! v1.72 by FRA. Drops always treated
) it works as expected.Is that something that cannot be implemented due to the mata usage or just a bug? If I can be helpful in debugging it, please let me know how.
Best, Marcelo
Replication syntax