Principal Score Methods: Assumptions, Extensions, and Practical Considerations
Author
Abstract
Suggested Citation
DOI: 10.3102/1076998617719726
Download full text from publisher
References listed on IDEAS
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- Chloe Gibbs & Jens Ludwig & Douglas L. Miller, 2011. "Does Head Start Do Any Lasting Good?," NBER Working Papers 17452, National Bureau of Economic Research, Inc.
- Peter Z. Schochet & John Burghardt, "undated". "Using Propensity Scoring to Estimate Program-Related Subgroup Impacts in Experimental Program Evaluations," Mathematica Policy Research Reports 3a3d011dfc3a4189ac810bd66, Mathematica Policy Research.
- Peng Ding & Avi Feller & Luke Miratrix, 2016. "Randomization inference for treatment effect variation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 655-671, June.
- Peng Ding & Jiannan Lu, 2017. "Principal stratification analysis using principal scores," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 757-777, June.
- Leonardo Grilli & Fabrizia Mealli, 2008. "Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification," Journal of Educational and Behavioral Statistics, , vol. 33(1), pages 111-130, March.
- Zhang, Junni L. & Rubin, Donald B. & Mealli, Fabrizia, 2009. "Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 166-176.
- Bruno Crépon & Florencia Devoto & Esther Duflo & William Parienté, 2015.
"Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco,"
American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 123-150, January.
- Bruno CREPON & Florencia DEVOTO & Esther DUFLO & William PARIENTE, 2014. "Estimating the impact of microcredit on those who take it up: Evidence from a randomized experiment in Morocco," LIDAM Discussion Papers IRES 2014012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Crépon, Bruno & Duflo, Esther & Parienté, William & Devoto, Florencia, 2014. "Estimating the impact of microcredit on those who take it up: Evidence from a randomized experiment in Morocco," CEPR Discussion Papers 9984, C.E.P.R. Discussion Papers.
- Bruno Crépon & Florencia Devoto & Esther Duflo & William Pariente, 2014. "Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco," NBER Working Papers 20144, National Bureau of Economic Research, Inc.
- VanderWeele Tyler J, 2011. "Principal Stratification -- Uses and Limitations," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-14, July.
- Aronow, Peter M. & Carnegie, Allison, 2013. "Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable," Political Analysis, Cambridge University Press, vol. 21(4), pages 492-506.
- Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
- Fabrizia Mealli & Barbara Pacini & Elena Stanghellini, 2016. "Identification of Principal Causal Effects Using Additional Outcomes in Concentration Graphs," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 463-480, October.
- Fabrizia Mealli & Barbara Pacini, 2013. "Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1120-1131, September.
- Dustin M. Long & Michael G. Hudgens, 2013. "Sharpening Bounds on Principal Effects with Covariates," Biometrics, The International Biometric Society, vol. 69(4), pages 812-819, December.
- repec:mpr:mprres:5406 is not listed on IDEAS
- Jennifer Hill & Jane Waldfogel & Jeanne Brooks-Gunn, 2002. "Differential effects of high-quality child care," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 601-627.
- repec:mpr:mprres:8128 is not listed on IDEAS
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
- Andrea Mercatanti & Fan Li, 2017. "Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 759-776, August.
- Shanshan Luo & Wei Li & Yangbo He, 2023. "Causal inference with outcomes truncated by death in multiarm studies," Biometrics, The International Biometric Society, vol. 79(1), pages 502-513, March.
- Zhichao Jiang & Shu Yang & Peng Ding, 2022. "Multiply robust estimation of causal effects under principal ignorability," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1423-1445, September.
- Huber Martin & Wüthrich Kaspar, 2019.
"Local Average and Quantile Treatment Effects Under Endogeneity: A Review,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
- Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
- Fabrizia Mealli & Barbara Pacini & Elena Stanghellini, 2016. "Identification of Principal Causal Effects Using Additional Outcomes in Concentration Graphs," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 463-480, October.
- Park Soojin & Kürüm Esra, 2020. "A Two-Stage Joint Modeling Method for Causal Mediation Analysis in the Presence of Treatment Noncompliance," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 131-149, January.
- Park Soojin & Kürüm Esra, 2020. "A Two-Stage Joint Modeling Method for Causal Mediation Analysis in the Presence of Treatment Noncompliance," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 131-149, January.
- Fan Yang & Peng Ding, 2018. "Using survival information in truncation by death problems without the monotonicity assumption," Biometrics, The International Biometric Society, vol. 74(4), pages 1232-1239, December.
- Yuta Ota & Takahiro Hoshino & Taisuke Otsu, 2024. "Causal Inference With Auxiliary Observations," Keio-IES Discussion Paper Series 2024-022, Institute for Economics Studies, Keio University.
- Peng Ding & Jiannan Lu, 2017. "Principal stratification analysis using principal scores," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 757-777, June.
- Dustin M. Long & Michael G. Hudgens, 2013. "Sharpening Bounds on Principal Effects with Covariates," Biometrics, The International Biometric Society, vol. 69(4), pages 812-819, December.
- Bia, Michela & Flores-Lagunes, Alfonso & Mercatanti, Andrea, 2018.
"Evaluation of Language Training Programs in Luxembourg using Principal Stratification,"
GLO Discussion Paper Series
289, Global Labor Organization (GLO).
- BIA Michela & FLORES-LAGUNES Alfonso & MERCATANTI Andrea, 2019. "Evaluation of Language Training Programs in Luxembourg using Principal Stratification," LISER Working Paper Series 2019-12, Luxembourg Institute of Socio-Economic Research (LISER).
- Bia, Michela & Flores-Lagunes, Alfonso & Mercatanti, Andrea, 2018. "Evaluation of Language Training Programs in Luxembourg Using Principal Stratification," IZA Discussion Papers 11973, Institute of Labor Economics (IZA).
- Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020.
"Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
- Fricke, Hans & Frölich, Markus & Huber, Martin & Lechner, Michael, 2015. "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments," FSES Working Papers 459, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Fricke, Hans & Frölich, Markus & Huber, Martin & Lechner, Michael, 2015. "Endogeneity and Non-Response Bias in Treatment Evaluation: Nonparametric Identification of Causal Effects by Instruments," IZA Discussion Papers 9428, Institute of Labor Economics (IZA).
- Peter Z. Schochet, 2013. "Student Mobility, Dosage, and Principal Stratification in School-Based RCTs," Journal of Educational and Behavioral Statistics, , vol. 38(4), pages 323-354, August.
- Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
- Soojin Park & Gregory J. Palardy, 2020. "Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions," Journal of Educational and Behavioral Statistics, , vol. 45(4), pages 475-506, August.
- Choi, Jin-young & Lee, Goeun & Lee, Myoung-jae, 2023. "Endogenous treatment effect for any response conditional on control propensity score," Statistics & Probability Letters, Elsevier, vol. 196(C).
- Susan Athey & Stefan Wager, 2021.
"Policy Learning With Observational Data,"
Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
- 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.
More about this item
Keywords
principal stratification; principal score; noncompliance; causal inference;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:42:y:2017:i:6:p:726-758. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.