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We reanalyze data from the observational study by Connors et al. (1996) on the impact of Swan–Ganz catheterization on mortality outcomes. The study by Connors et al. (1996) assumes that there are no unobserved differences between patients who are catheterized and patients who are not...
Persistent link: https://www.econbiz.de/10011052281
We reanalyze data from the observational study by Connors et al. (1996) on the impact of Swan-Ganz catheterization on mortality outcomes. The Connors et al. (1996) study assumes that there are no unobserved differences between patients who are catheterized and patients who are not catheterized...
Persistent link: https://www.econbiz.de/10005004683
Persistent link: https://www.econbiz.de/10005237813
This paper considers the evaluation of the average treatment effect of a binary endogenous regressor on a binary outcome when one imposes a threshold crossing model on both the endogenous regressor and the outcome variable but without imposing parametric functional form or distributional...
Persistent link: https://www.econbiz.de/10005779021
Persistent link: https://www.econbiz.de/10005296689
Persistent link: https://www.econbiz.de/10012304090
In the context of a binary outcome, treatment, and instrument, Balke and Pearl (1993, 1997) establish that the monotonicity condition of Imbens and Angrist (1994) has no identifying power beyond instrument exogeneity for average potential outcomes and average treatment effects in the sense that...
Persistent link: https://www.econbiz.de/10015072924
Persistent link: https://www.econbiz.de/10011366998
This paper studies inference in randomized controlled trials with covariate‐adaptive randomization when there are multiple treatments. More specifically, we study in this setting inference about the average effect of one or more treatments relative to other treatments or a control. As in...
Persistent link: https://www.econbiz.de/10012637217
Propensity score matching has become a popular method for the estimation of average treatment effects. In empirical applications, researchers almost always impose a parametric model for the propensity score. This practice raises the possibility that the model for the propensity score is...
Persistent link: https://www.econbiz.de/10005022956