The R package MatchIT uses a caliper width on the standard deviation of the propensity score. Is there a way to use logit of the propensity score?
Yes. In the link
argument, specifiy link = "linear.logit"
. Below is an example:
m <- matchit(A ~ X1 + X2, data = data, method = "nearest",
distance = "glm", link = "linear.logit",
caliper = .2)
This does nearest neighbor matching on the logit of the propensity score with a caliper of .2 standard deviations of the logit of the propensity score.