I have figured out the solution to this. It appears that distance isn't
defined as the difference in propensity scores. Instead, this difference is
then scaled by the standard deviation of the predicted dependent-variable
values of the corresponding logistic regression, and then squared.
Hi.
I am using the Matching package for propensity score matching. For each
treated unit, I want to find all control units whose propensity scores lie
within a certain distance from the treated unit. The sample code is as
follows:
library(Matching)
x - rnorm(10)
y - rnorm(10)
z -
2 matches
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