The package cannot use this data. Treatment adoption is not simultaneous.

[Machine855]

Dear all:

I run the following code in R to test whether your synth function does work on my panel dataset:

library(haven)
testen <- read_dta("test files/testen.dta")
View(testen)
library(dplyr)
setup = panel.matrices(as.data.frame(as_tibble(testen)))

I got the following error message:

library(haven)
testen <- read_dta("test files/testen.dta")
View(testen)
library(dplyr)
setup = panel.matrices(as.data.frame(as_tibble(testen)))
Error in panel.matrices(as.data.frame(as_tibble(testen))) :
The package cannot use this data. Treatment adoption is not simultaneous.
In addition: There were 50 or more warnings (use warnings() to see the first 50)

Any help to solve this issue is greatly appreciated. Is this package also available for staggered treatments?

[davidahirshberg]

The current version of the package does not handle staggered treatments automatically. But it's fairly easy to make a few
calls to synthdid_estimate to to implement your own approach to staggered adoption. See Section 8 of the synthetic diff-in-diff paper.

In this we are a bit behind the Stata, Julia, and Python packages, which do automate a version of what is described in Section 8.

[Machine855]

Thank you so much for your reply. Can you please change the STATA code so you can run it in Parallel? Parallel execution -> parallel(#) partial out variables in # separate Stata processes, speeding up execution depending on data size and computer characteristics. Requires the parallel package.

[davidahirshberg]

That's a request for the stata package authors. Post an issue here if you like: https://github.com/Daniel-Pailanir/sdid

[Machine855]

I am unfortunately unable to program in R. Could you please implement it in R?