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Pages 64-65

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From page 64...
... noted: Unconstrained statistical matching has the advantage of permitting the closest possible match for each A record, but at the cost of increasing the sample variance of estimators involving the Z variables. An unconstrained match amounts to taking a simple random sample, with replacement, of the records in file B
From page 65...
... suggests that these problems often cause statistical matches to misinform. Thus, he believes that a good measure of the trouble that one might have with unconstrained statistical matching is the difference between the means, variances, and correlations in file B and in the merged file.


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