Open azev77 opened 2 years ago
You need more than 1 pre-treatment period to pre-test.
It is true we cant pre-test parallel trends for the g=1994, but we should be able to do it or the others, I think.
On Fri, Jan 28, 2022 at 18:23 azev77 @.***> wrote:
I created a simple fake dataset: 5 years: 1993-1997 6 groups: 1-6 30 observations = 5 * 6 2 groups (group # 3 & 4) are treated in 1994 2 groups (group # 5 & 6) are treated in 1996
[image: image] https://user-images.githubusercontent.com/7883904/151643491-1db8c7cc-7443-4eda-a2c0-454ca6090165.png
I thought my data has the same structure as in your example.
When I run
out <- att_gt(yname = "hpg", gname = "first_treat", idname = "fips11", tname = "year", xformla = ~1, #xformla = ~X, data = Book1, est_method = "reg" )
I get the message: [image: image] https://user-images.githubusercontent.com/7883904/151643595-344cbfaf-ad70-469a-aa47-c6ca5fc35083.png
But that's wrong bc 1993 is the first year in my data & has no treatment.
How can I fix this? please help
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Pedro H. C. Sant'Anna Department of Economics Vanderbilt University 615-875-8448 (phone) @.*** https://pedrohcgs.github.io
But it seems that you have just 2 units in the g=1996. Is that the case? With teo observations in a group, it is very hard hard to use any sampling-based procedure to do inference.
On Fri, Jan 28, 2022 at 19:22 Pedro H. C. Sant'Anna @.***> wrote:
You need more than 1 pre-treatment period to pre-test.
It is true we cant pre-test parallel trends for the g=1994, but we should be able to do it or the others, I think.
On Fri, Jan 28, 2022 at 18:23 azev77 @.***> wrote:
I created a simple fake dataset: 5 years: 1993-1997 6 groups: 1-6 30 observations = 5 * 6 2 groups (group # 3 & 4) are treated in 1994 2 groups (group # 5 & 6) are treated in 1996
[image: image] https://user-images.githubusercontent.com/7883904/151643491-1db8c7cc-7443-4eda-a2c0-454ca6090165.png
I thought my data has the same structure as in your example.
When I run
out <- att_gt(yname = "hpg", gname = "first_treat", idname = "fips11", tname = "year", xformla = ~1, #xformla = ~X, data = Book1, est_method = "reg" )
I get the message: [image: image] https://user-images.githubusercontent.com/7883904/151643595-344cbfaf-ad70-469a-aa47-c6ca5fc35083.png
But that's wrong bc 1993 is the first year in my data & has no treatment.
How can I fix this? please help
— Reply to this email directly, view it on GitHub https://github.com/bcallaway11/did/issues/108, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABE7343OK22DITUXACT2CGTUYNFRXANCNFSM5NCIV4CA . You are receiving this because you are subscribed to this thread.Message ID: @.***>
--
Pedro H. C. Sant'Anna Department of Economics Vanderbilt University 615-875-8448 (phone) @.*** https://pedrohcgs.github.io
--
Pedro H. C. Sant'Anna Department of Economics Vanderbilt University 615-875-8448 (phone) @.*** https://pedrohcgs.github.io
I'm confused.
data(mpdta)
the first year is 2003
and the first treatment is 2004
hence there is also only 1 pre-treatment time period...The following modification works but it's not in the docs:
dta <- build_sim_dataset(reset.sim())
Hi, I would like to ask about a similar problem that I face. I have a large dataset with around 3 million observations and I am trying to run your estimator with the never treated as the control. I am using the following code:
num_acc_bal_2017_nev_treat <- att_gt(yname = "num_acc", tname = "year", idname = "id_estab_num", gname = "year_inspect", control = "nevertreated", allow_unbalanced_panel = FALSE, data = df_2017_never_treated, base_period = "universal", panel = TRUE )
and am getting the following error "No pre-treatment periods to test"
I don't believe that I have no pre-treatment periods. I cross tabulated the number of observations by year of treatment and year (shown in the following table) and as you can see, I do have pre-treatment periods to test and there are not a few of them. I also tried running the command csdid on stata, and it does work. Would you be able to help me out with this? Thanks in advance for the help!
I created a simple fake dataset: 5 years: 1993-1997 6 groups: 1-6 30 observations = 5 * 6 2 groups (group # 3 & 4) are treated in 1994 2 groups (group # 5 & 6) are treated in 1996
I thought my data has the same structure as in your example.
When I run
I get the message:
But that's wrong bc 1993 is the first year in my data & has no treatment.
How can I fix this? please help