Hello,
I'm using nnmatch with ATT on a series of datasets containing varying numbers of treated observations. Some of the datasets contain only 1 treated observation, which seems to cause nnmatch problems.
The first error that came up was "Insufficient observations". I worked out that switching from ATT to ATE fixed that bug in most cases. However, for some of the single obeservation datasets I now get the error "Insufficient memory to create more variables: Either increase memory or decrease m". These aren't big datasets (6 variables, 70,000 observations) so memory shouldn't be a problem at all. I suspect something else funny is going on (to do with only having a single treated observation). Any thoughts?
Grateful if anyone can help me with a solution to nearest neighbour matching on a dataset with only 1 treated observation.
Regards
Jack
I'm using nnmatch with ATT on a series of datasets containing varying numbers of treated observations. Some of the datasets contain only 1 treated observation, which seems to cause nnmatch problems.
The first error that came up was "Insufficient observations". I worked out that switching from ATT to ATE fixed that bug in most cases. However, for some of the single obeservation datasets I now get the error "Insufficient memory to create more variables: Either increase memory or decrease m". These aren't big datasets (6 variables, 70,000 observations) so memory shouldn't be a problem at all. I suspect something else funny is going on (to do with only having a single treated observation). Any thoughts?
Grateful if anyone can help me with a solution to nearest neighbour matching on a dataset with only 1 treated observation.
Regards
Jack
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