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09/01/2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
Most works in causal inference focus on binary treatments where one esti...
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05/23/2023
Incremental Propensity Score Effects for Criminology: An Application Assessing the Relationship Between Houselessness, Behavioral Health Problems, and Recidivism
This study examines the relationship between houselessness and recidivis...
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12/07/2022
Nonparametric Estimation of Conditional Incremental Effects
Conditional effect estimation has great scientific and policy importance...
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10/15/2022
Heterogeneous interventional indirect effects with multiple mediators: non-parametric and semi-parametric approaches
We propose semi- and non-parametric methods to estimate conditional inte...
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10/20/2021
Incremental causal effects: an introduction and review
In this chapter, we review the class of causal effects based on incremen...
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07/03/2019
Evaluating A Key Instrumental Variable Assumption Using Randomization Tests
Instrumental variable (IV) analyses are becoming common in health servic...
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10/05/2018
Local Randomization and Beyond for Regression Discontinuity Designs: Revisiting a Causal Analysis of the Effects of University Grants on Dropout Rates
Regression discontinuity designs (RDDs) are a common quasi-experiment in...
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10/05/2018
Local Randomization and Beyond for Regression Discontinuity Designs
Regression discontinuity designs (RDDs) are a common quasi-experiment in...
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08/14/2018
Ridge Rerandomization: An Experimental Design Strategy in the Presence of Collinearity
Randomization ensures that observed and unobserved covariates are balanc...
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08/05/2018
Sampling-based randomized designs for causal inference under the potential outcomes framework
We establish the inferential properties of the mean-difference estimator...
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07/11/2018
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?
Most research on regression discontinuity designs (RDDs) has focused on ...
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04/23/2018
Is My Matched Dataset As-If Randomized, More, Or Less? Unifying the Design and Analysis of Observational Studies
Matching alleviates the problem of covariate imbalance in observational ...
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02/03/2018
