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Direct linkFreedman, David A.; Berk, Richard A. – Evaluation Review, 2008
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…
Descriptors: Causal Models, Weighted Scores, Error of Measurement, Case Studies
