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On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores

Citations

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Cited by:

  1. David Kaplan & Jianshen Chen, 2012. "A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 581-609, July.
  2. Nikolova, Milena & Roman, Monica & Zimmermann, Klaus F., 2017. "Left behind but doing good? Civic engagement in two post-socialist countries," Journal of Comparative Economics, Elsevier, vol. 45(3), pages 658-684.
  3. Nikolova, Milena & Graham, Carol, 2015. "In transit: The well-being of migrants from transition and post-transition countries," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 164-186.
  4. Matthew Roskruge & Arthur Grimes & Philip McCann & Jacques Poot, 2013. "Homeownership, Social Capital and Satisfaction with Local Government," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2517-2534, September.
  5. Kelly Lack & Hannah Acheson-Field, 2025. "Reaching the Finish Line: Can Coaching Help Students Graduate?," Research in Higher Education, Springer;Association for Institutional Research, vol. 66(1), pages 1-47, February.
  6. Kim, Sangil & Park, Keon Chul, 2021. "Government funded R&D collaboration and it's impact on SME's business performance," Journal of Informetrics, Elsevier, vol. 15(3).
  7. Keller, Bryan & Wong, Vivian C & Park, Sangbaek & Zhang, Jingru & Sheehan, Patrick & Steiner, Peter M., 2024. "A new four-arm within-study comparison: Design, implementation, and data," OSF Preprints 2gur9_v1, Center for Open Science.
  8. J. R. Lockwood & Daniel F. McCaffrey, 2019. "Impact Evaluation Using Analysis of Covariance With Error-Prone Covariates That Violate Surrogacy," Evaluation Review, , vol. 43(6), pages 335-369, December.
  9. J. R. Lockwood & D. McCaffrey, 2020. "Using hidden information and performance level boundaries to study student–teacher assignments: implications for estimating teacher causal effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1333-1362, October.
  10. Peter M. Steiner, 2011. "Propensity Score Methods for Causal Inference: On the Relative Importance of Covariate Selection, Reliable Measurement, and Choice of Propensity Score Technique," Working Papers 09, AlmaLaurea Inter-University Consortium.
  11. Hwanhee Hong & Kara E. Rudolph & Elizabeth A. Stuart, 2017. "Bayesian Approach for Addressing Differential Covariate Measurement Error in Propensity Score Methods," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 1078-1096, December.
  12. Caitlin Kearns & Douglas Lee Lauen & Bruce Fuller, 2020. "Competing With Charter Schools: Selection, Retention, and Achievement in Los Angeles Pilot Schools," Evaluation Review, , vol. 44(2-3), pages 111-144, April.
  13. Matthew Cefalu & Brian G. Vegetabile & Michael Dworsky & Christine Eibner & Federico Girosi, 2020. "Reducing bias in difference-in-differences models using entropy balancing," Papers 2011.04826, arXiv.org.
  14. Ellen B. Goldring & Melissa A. Clark & Mollie Rubin & Laura K. Rogers & Jason A. Grissom & Brian Gill & Tim Kautz & Moira McCullough & Michael Neel & Alyson Burnett, "undated". "Changing the Principal Supervisor Role to Better Support Principals: Evidence from the Principal Supervisor Initiative," Mathematica Policy Research Reports 29303291d5a945e1a772aa529, Mathematica Policy Research.
  15. Peter M. Steiner & Yongnam Kim & Courtney E. Hall & Dan Su, 2017. "Graphical Models for Quasi-experimental Designs," Sociological Methods & Research, , vol. 46(2), pages 155-188, March.
  16. Trang Quynh Nguyen & Elizabeth A. Stuart, 2020. "Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score," Journal of Educational and Behavioral Statistics, , vol. 45(5), pages 598-636, October.
  17. Yongnam Kim & Peter M. Steiner, 2021. "Gain Scores Revisited: A Graphical Models Perspective," Sociological Methods & Research, , vol. 50(3), pages 1353-1375, August.
  18. Fan, Lingxu & Guo, Lei & Wang, Xinhua & Xu, Liancheng & Liu, Fangai, 2022. "Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 16(4).
  19. Newman, Sandra J. & Holupka, C. Scott, 2014. "Housing affordability and investments in children," Journal of Housing Economics, Elsevier, vol. 24(C), pages 89-100.
  20. Keller, Bryan & Wong, Vivian C & Park, Sangbaek & Zhang, Jingru & Sheehan, Patrick & Steiner, Peter M., 2024. "A new four-arm within-study comparison: Design, implementation, and data," OSF Preprints 2gur9, Center for Open Science.
  21. Vivian C. Wong & Peter M. Steiner & Kylie L. Anglin, 2018. "What Can Be Learned From Empirical Evaluations of Nonexperimental Methods?," Evaluation Review, , vol. 42(2), pages 147-175, April.
  22. Travis St.Clair & Kelly Hallberg & Thomas D. Cook, 2016. "The Validity and Precision of the Comparative Interrupted Time-Series Design," Journal of Educational and Behavioral Statistics, , vol. 41(3), pages 269-299, June.
  23. Zhao Zhang & Yihua Mao & Yueyao Shui & Ruyu Deng & Yuchen Hu, 2022. "Do Community Home-Based Elderly Care Services Improve Life Satisfaction of Chinese Older Adults? An Empirical Analysis Based on the 2018 CLHLS Dataset," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
  24. Marie-Ann Sengewald & Steffi Pohl, 2019. "Compensation and Amplification of Attenuation Bias in Causal Effect Estimates," Psychometrika, Springer;The Psychometric Society, vol. 84(2), pages 589-610, June.
  25. Bryan Keller, 2020. "Variable Selection for Causal Effect Estimation: Nonparametric Conditional Independence Testing With Random Forests," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 119-142, April.
  26. J. R. Lockwood & Daniel F. McCaffrey, 2017. "Simulation-Extrapolation with Latent Heteroskedastic Error Variance," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 717-736, September.
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