Causal Diagrams for Treatment Effect Estimation with Application to Efficient Covariate Selection
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- Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
- Persson, Emma & Häggström, Jenny & Waernbaum, Ingeborg & de Luna, Xavier, 2017. "Data-driven algorithms for dimension reduction in causal inference," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 280-292.
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- Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
- Lewbel, Arthur & Lu, Xun & Su, Liangjun, 2015.
"Specification testing for transformation models with an application to generalized accelerated failure-time models,"
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- Arthur Lewbel & Xun Lu & Liangjun Su, 2012. "Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models," Boston College Working Papers in Economics 817, Boston College Department of Economics, revised 01 May 2013.
- Deuchert, Eva & Huber, Martin, 2014.
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453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," Economics Working Paper Series 1439, University of St. Gallen, School of Economics and Political Science.
- Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
- Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016.
"Testing for monotonicity in unobservables under unconfoundedness,"
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- Stefan Hoderlein & Liangjun Su & Halbert White & Thomas Tao Yang, 2015. "Testing for Monotonicity in Unobservables under Unconfoundedness," Boston College Working Papers in Economics 899, Boston College Department of Economics.
- repec:bla:obuest:v:79:y:2017:i:3:p:411-425 is not listed on IDEAS
- Pingel, Ronnie & Waernbaum, Ingeborg, 2015. "Correlation and efficiency of propensity score-based estimators for average causal effects," Working Paper Series 2015:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
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