This is a duplicate of your SO post:
https://stackoverflow.com/questions/68135737/error-in-varif-is-vectorx-is-factorx-x-else-as-doublex
There you were asked for some data to make it reproducible. You
shouldn't assume that people here are any more clairvoyant than the SO
readers.
Duncan Murdoch
On 25/06/2021 2:54 p.m., Tariq Khasiri wrote:
Just trying to replicate the Callaway and Sant'Anna average treatment
group effect for my research where I would like to see how a particular law
implementation is affecting all the treated states' wages compared to the
never treated states' ( control group ) wage :
## Cleaning treated and never treated
dat$treat = ifelse(is.na(dat$law_effective_year),0,1)
dat$nevertreated = ifelse(dat$treat==0,1,0)
## Command for CSDID
out1 <- att_gt(yname="ln_incwage",
tname="year",
gname="law_effective_year",
xformla=~male + age + age2 + age3 + age4 + black + asian +
hispanic + lths + hsdegree + somecollege ,
data=dat,
est_method = "dr", # "dr" is doubly robust. "ipw" is inverse
probability weighting. "reg" is regression
control_group = "nevertreated", # set the comparison group
which is either "nevertreated" or "notyettreated"
print_details = FALSE, # if TRUE, print detailed results
clustervars = "statefip", # cluster level
panel = FALSE) # wh)
summary(out1)
But the error I'm getting is -
Error in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm =
na.rm) :
Calling var(x) on a factor x is defunct.
Use something like 'all(duplicated(x)[-1L])' to test for a constant
vector.
Can anyone tell me what's the issue ?
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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