A Bootstrap Procedure of Propensity Score Estimation

Authors

    Authors

    H. Y. Bai

    Comments

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    Abbreviated Journal Title

    J. Exp. Educ.

    Keywords

    bootstrap; matching; propensity score estimation; ECONOMETRIC EVALUATION ESTIMATOR; MATHEMATICS ACHIEVEMENT; STUDENT-ACHIEVEMENT; MATCHING ESTIMATORS; CAUSAL INFERENCE; SCHOOL; REGRESSION; PROGRAM; Education & Educational Research; Psychology, Educational

    Abstract

    Propensity score estimation plays a fundamental role in propensity score matching for reducing group selection bias in observational data. To increase the accuracy of propensity score estimation, the author developed a bootstrap propensity score. The commonly used propensity score matching methods: nearest neighbor matching, caliper matching, and Mahalanobis metric matching, are used for evaluating the quality of bias reduction results using propensity scores estimated with or without the bootstrap. The study reveals that the matching results with bootstrap propensity score are better than or comparable to those of matching without bootstrap procedures. With regard to the merit of the bootstrap method in reducing sampling errors and, therefore, improving the accuracy of propensity score estimation, the results of this study imply a great potential to use the bootstrap method in estimating propensity scores. This study provides a preliminary framework for further research in this area.

    Journal Title

    Journal of Experimental Education

    Volume

    81

    Issue/Number

    2

    Publication Date

    1-1-2013

    Document Type

    Article

    Language

    English

    First Page

    157

    Last Page

    177

    WOS Identifier

    WOS:000315671200002

    ISSN

    0022-0973

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