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Statistical Models and Causal Inference by Jasjeet S. Sekhon, David Collier, David A. Freedman

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16Weighting Regressions by Propensity Scores

With Richard A. Berk

        ABSTRACT. 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 investigators have a good causal model, it seems better just to fit the model without weights. If the causal model is improperly specified, there can be significant problems in retrieving the situation by weighting, although weighting may help under some circumstances.

        Estimating causal effects is often the key to evaluating ...

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