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Journal of the American Statistical Association Volume 112, 2017 - Issue 518
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Applications and Case Studies

Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System

José R. ZubizarretaDecision, Risk and Operations Division, and Statistics Department, Columbia University, New York, NY
&
Luke KeeleMcCourt School of Public Policy and Department of Government, Georgetown University, Washington, DC
Pages 547-560 | Received 01 Mar 2015, Published online: 13 Jul 2017

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Yongseok Lee, Walter L. Leite & Audrey J. Leroux. (2024) Propensity Score Matching with Cross-Classified Data Structures: A Comparison of Methods. The Journal of Experimental Education 92:2, pages 359-376.
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Luke Keele, Matthew Lenard & Lindsay Page. (2024) Overlap Violations in Clustered Observational Studies of Educational Interventions. Journal of Research on Educational Effectiveness 17:1, pages 1-18.
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Valentina Giaconi, Pascal Bressoux & Patricio Felmer. (2022) The effect of voucher and public school education on Chilean students’ mathematics and reading test score trajectories. School Effectiveness and School Improvement 33:2, pages 303-331.
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Luke Keele, Matthew Lenard & Lindsay Page. (2021) Matching Methods for Clustered Observational Studies in Education. Journal of Research on Educational Effectiveness 14:3, pages 696-725.
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Magdalena Bennett, Juan Pablo Vielma & José R. Zubizarreta. (2020) Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies. Journal of Computational and Graphical Statistics 29:4, pages 744-757.
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Paul R. Rosenbaum. (2020) Modern Algorithms for Matching in Observational Studies. Annual Review of Statistics and Its Application 7:1, pages 143-176.
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Paul R. RosenbaumPaul R. Rosenbaum. 2020. Design of Observational Studies. Design of Observational Studies 229 243 .
Guy Cafri, Wei Wang, Priscilla H Chan & Peter C Austin. (2018) A review and empirical comparison of causal inference methods for clustered observational data with application to the evaluation of the effectiveness of medical devices. Statistical Methods in Medical Research 28:10-11, pages 3142-3162.
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Aleksey Y. Oshchepkov & Anna Shirokanova. (2020) Multilevel Modeling for Economists: Why, When and How. SSRN Electronic Journal.
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