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Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing

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  • Alessandra Mattei
Abstract
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Suggested Citation

  • Alessandra Mattei, 2009. "Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 257-273, July.
    • Handle: RePEc:spr:stmapp:v:18:y:2009:i:2:p:257-273
    DOI: 10.1007/s10260-007-0086-0
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    References listed on IDEAS

    as
    1. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    2. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    3. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Radice Rosalba & Ramsahai Roland & Grieve Richard & Kreif Noemi & Sadique Zia & Sekhon Jasjeet S., 2012. "Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-45, August.
    2. Rodriguez, Javier M., 2018. "Health disparities, politics, and the maintenance of the status quo: A new theory of inequality," Social Science & Medicine, Elsevier, vol. 200(C), pages 36-43.
    3. Daniele Bottigliengo & Giulia Lorenzoni & Honoria Ocagli & Matteo Martinato & Paola Berchialla & Dario Gregori, 2021. "Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    4. Ye, Wei & Rodriguez, Javier M., 2021. "Highly vulnerable communities and the Affordable Care Act: Health insurance coverage effects, 2010–2018," Social Science & Medicine, Elsevier, vol. 270(C).

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