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Marginal and Nested Structural Models Using Instrumental Variables

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  • Tan, Zhiqiang

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  • Tan, Zhiqiang, 2010. "Marginal and Nested Structural Models Using Instrumental Variables," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 157-169.
    • Handle: RePEc:bes:jnlasa:v:105:i:489:y:2010:p:157-169
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    Cited by:

    1. Luke Keele & Dylan Small & Richard Grieve, 2017. "Randomization-based instrumental variables methods for binary outcomes with an application to the ‘IMPROVE’ trial," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 569-586, February.
    2. Peter Z. Schochet, 2020. "The Complier Average Causal Effect Parameter for Multiarmed RCTs," Evaluation Review, , vol. 44(5-6), pages 410-436, October.
    3. Paul S. Clarke & Tom M. Palmer & Frank Windmeijer, 2011. "Estimating structural mean models with multiple instrumental variables using the generalised method of moments," CeMMAP working papers CWP28/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Martinez, Sebastian & Sanchez, Raul & Yañez, Patricia, 2018. "Getting a Lift: The Impact of Aerial Cable Cars in La Paz, Bolivia," IDB Publications (Working Papers) 36, Inter-American Development Bank.
    5. Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
    6. Zhiqiang Tan, 2023. "Discussion on “Instrumented difference‐in‐differences” by Ye, Ertefaie, Flory, Hennessy, Small," Biometrics, The International Biometric Society, vol. 79(2), pages 587-591, June.
    7. Wei Yan & Yaqin Hu & Zhi Geng, 2012. "Identifiability of Causal Effects for Binary Variables with Baseline Data Missing Due to Death," Biometrics, The International Biometric Society, vol. 68(1), pages 121-128, March.
    8. Peter Z. Schochet, "undated". "Multi-Armed RCTs: A Design-Based Framework," Mathematica Policy Research Reports eedf2eac4d4c4d8e869052c1d, Mathematica Policy Research.
    9. Myoung‐jae Lee, 2021. "Instrument residual estimator for any response variable with endogenous binary treatment," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 612-635, July.

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