Hi all,
I have conducted a propensity score analysis using caliper matching, but am unsure as to how I can interpret the output:
psmatch2 treatment, outcome(Y) pscore(logit1) neighbor(1) caliper(.001) common There are observations with identical propensity score values.
The sort order of the data could affect your results.
Sample | Treated Controls
Unmatched | .746302251 .567882472
ATT | .738078902 .58490566
Then it says common support off match and on match as untreated 0 and treated 50.
Hopefully someone can clarify where to look and what this means. Thanks!
I have conducted a propensity score analysis using caliper matching, but am unsure as to how I can interpret the output:
psmatch2 treatment, outcome(Y) pscore(logit1) neighbor(1) caliper(.001) common There are observations with identical propensity score values.
The sort order of the data could affect your results.
Sample | Treated Controls
Unmatched | .746302251 .567882472
ATT | .738078902 .58490566
Then it says common support off match and on match as untreated 0 and treated 50.
Hopefully someone can clarify where to look and what this means. Thanks!
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