Journal Articles

Weighting Regressions by Propensity Scores

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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

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Detail Information

Series Title

Evaluation Review

Call Number

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Publisher

California : Sage Publications., 2008

Collation

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Language

English

ISBN/ISSN

0193-841X

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

Vol. 32, No. 4, August 2008. Page 392-409

Subject(s)

experiments
selection
regression
causation
Models
Observational Studies
Propensity Scores
Weighting Regressions by Propensity Scores

Specific Detail Info

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Statement of Responsibility

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